Operational research Books

Book SynopsisEighteen papers by distinguished economists, management scientists, and statisticians shed new light on phenomena such as the Allais and St. Petersburg paradoxes, the equity premium puzzle, the demand for insurance, the valuation of public health and safety, and environmental goods.Table of ContentsPreface. Ole Hagen and the FUR Conferences; F. Wenstøp. I. Models of Environmental Risk. Valuing Health and Safety: Some Economic and Psychological Issues; M.J. Jones-Lee, G. Loomes. Improving Efficiency in Environmental Enforcement; D.M. Kilgour. Valuation of Environmental Goods: Frame Effects in the Estimation of Multi- Criteria Utility Functions; F. Wenstøp, A.J. Carlsen. Stochastic Trees and Medical Decision Making; G.B. Hazen, J. Sounderpandian. Manipulation of Emission Permit Markets; E. Romstad, O. Bergland. II: Risk and Uncertainty in Economic Theory. Allais Theory Offers Solution and Explanation for Equity Premium Puzzle; J. Golob. Generalized Expected Utility and the Demand for Insurance: The Limits of Machina; T. Russell. The Derivation of Generalized Expected Utility Expansion: Reply to Russell; M. Machina. Necessary Conditions for Efficient Multiple-Bid Auctions; F. Bolle. Balanced Equilibrium: A Theory of Behavior in Games Based on Continuity and Insufficient Reason; M. Mariotti. Mixed Extensions of Games and the St. Petersburg Paradox; H. Haller. Consumption with Fluctuations in Preference; K. Nakazawa, J. Hey. III: Recent Progress in Modeling Preferences and Risk Attitudes. Dynamically Consistent Preferences, Quadratic Beliefs, and Choice Under Uncertainty; J. Eichberger, S. Grant. Induced Preferences and Decision Making Under Risk and Uncertainty; D. Kelsey, F. Milne. On Socks, Ties, and Extended Outcomes; H. Markowitz. Hierarchies and the Self-Control of Risk Attitude; L. Wathieu. Allais Phenomena and Completeness of Preferences; S. Ríos, et al. Representing Preference Relations with Nontransitive Indifference by a SingleReal-Valued Function; G. Bos, R. Isler. Index.

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Book SynopsisPresents the advanced theory and practice of fractional programming. This title provides possible fields of application for fractional programming methods. It describes the convex, quasi-convex, pseudo-convex, and log-convex functions.Table of ContentsIntroduction. 1. Fractional Programming Applications. 2. Convex, Quasiconvex, Pseudoconvex, Logarithmic Convex, alpham-Convex, and Invex Functions. 3. Methods for Solving Linear Fractional Programming Problems. 4. Nonlinear Fractional Programming. 5. Duality in Fractional Programming. 6. Fractional Programming with Multiple Objective Functions. 7. Fractional Programming in the Complex Space. 8. Special Linear Fractional Programming Problems. 9. Integer and Mixed Integer Linear Fractional Programming. 10. Fractional Transportation Problem. Bibliography. Subject Index. Author Index.

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Book SynopsisEnvironmental decisions must satisfy a multitude of objectives and the matching of a plan, policy or project to such objectives is a matter of both facts and value judgements.Table of Contents1. Scope and Outline of the Study. 2. Multiattribute Value Function Theory. 3. Assessment Techniques for Multiattribute Value Functions. 4. Value Functions for Environmental Management. 5. An Interactive Procedure for Assessing Value Functions for Expert Judgement. 6. Value Function Models for Expert Panels. 7. Case Study: Expert-Based Value Function Models for Cleaning up a Polluted Site. 8. Case Study: Spatial Decision Support for the Admission of New pesticides. 9. Conclusions. References. Index.

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Book SynopsisI Two-Person Games.- Computing Linear Minimax Estimators.- Incidence Matrix Games.- Completely Mixed Games and Real Jacobian Conjecture.- Probability of obtaining a pure strategy equilibrium in matrix games with random pay-offs.- II Cooperative Games.- Nonlinear Self Dual Solutions for TU Games.- The Egalitarian Nonpairwise-averaged Contribution.- Consistency Properties of the Nontransferable Cooperative Game solutions.- Reduced Game Property of Egalitarian Division Rules for Cooperative Games.- III Noncooperative Games.- An implementation of the Nucleolus of NTU Games.- Pure Strategy Nash Equilibirum Points in Large Non-Anonymous Games.- Equilibria in Repeated Games of Incomplete Information The Deterministic Symmetric Case.- On Stable Sets of Equilibria.- IV Linear Complementarity Problems and Game Theory.- A Chain condition for Qo-Matrices.- Linear Complementarity and the Irriducible Polystochastic Game with the Average Cost Criterion when one Player Controls Transition.- On the LipTable of ContentsPreface. Introduction. I: Two-Person Games. Computing Linear Minimax Estimators; K. Helmes, C. Srinivasan. Incidence Matrix Games; R.B. Bapat, S. Tijs. Completely Mixed Games and Real Jacobian Conjecture; T. Parthasarathy, et al. Probability of Obtaining a Pure Strategy Equilibrium in Matrix Games with Random Pay-Offs; S. Mishra, T.K. Kumar. II: Cooperative Games. Nonlinear Self Dual Solutions for TU Games; P. Sudholter. The Egalitarian Nonpairwise-Averaged Contribution; T. Driessen, Y. Funaki. Consistency Properties of the Nontransferable Cooperative Game Solutions; E. Yanovskaya. Reduced Game Property of Egalitarian Division Rules for Cooperative Games; T. Driessen, Y. Funaki. III: Noncooperative Games. An Implementation of the Nucleolus of NTU Games; G. Bergantinos, J.A.M. Potters. Pure Strategy Nash Equilibrium Points in Large Non-Anonymous Games; M.A. Khan, et al. Equilibria in Repeated Games of Incomplete Information. The Deterministic Symmetric Case; A. Neyman, S. Sorin. On Stable Sets of Equilibria; A.J. Vermeulen, et al. IV: Linear Complementarity Problems and Game Theory. A Chain Condition for Qo-Matrices; A.K. Biswas, G.S.R. Murthy. Linear Complementarity and the Irreducible Polystochastic Game with the Average Cost Criterion when one Player Controls Transition; S.R. Mohan, et al. On the Lipschitz Continuity of the Solution Map in Some Generalized Linear Complementarity Problems; R. Sznajder, M.S. Gowda. V: Economic And Or Applications. Pari-Mutuel as a System of Aggregation of Information; G. Owen. Genetic Algorithm of the Core of NTU Games; H.H. Chin. Some Recent Algorithms for Finding the Nucleolus of Structured Cooperative Games;T.E.S. Raghavan. The Characterisation of the Uniform Reallocation Rule Without Pareto Optimality; B. Klaus. Two Level Negotiations in Bargaining Over Water; A. Richards, N. Singh. Price Rule and Volatility in Auctions with Resale Markets; A. Alkhan. Monetary Trade, Market Specialisation and Strategic Behaviour; M. Rajeev.

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Book SynopsisProceedings of the NATO Advanced Research Workshop, Kiev, Ukraine, 13-15 November 1996Trade Review`... this is a very varied collection of papers in many senses ... could provide a very valuable reference source for both managers and academics concerned with project management. It will be a useful addition to an academic library.' Journal of the Operational Research Society, 49:10 Table of ContentsPreface. 1: Introduction. 2: The Need for the Workshop. Welcome to Ukraine; R.V. Shpeck. The Need for New Paradigms for Complex Projects; T.M. Williams. 3: Modelling Techniques. Project Planning and Control by Stochastic Network Models; D. Golenko-Ginzburg, A. Gonik. On the Expected Completion Time of Diffusion Activity Networks (DiAN); S. Elmaghraby. Time Risk: What it Drives and How it is Driven; C. Chapman, S. Ward. System Dynamics Methods in Complex Project Management; K.G. Cooper. 4: Domain Specific Examples. The Mushroom Project Model: A Note; P. Dunton. Managing Complex Projects in Ukraine; L.I. Romanenko. Managing Complex Software Projects - Experiences with Real-Time Mission-Critical Systems; T.P. Conrad. Human Factors in Planning and Managing Complex Infrastructure Projects - A Singapore Experience; K.T. Yeo. 5: Corporate Structures. Joint Project Management Companies; K. Pannenbacker. Project Management Globalization and Unification for Transition and Developing Economies; V.I. Voropajev. 6: Management Techniques. Alternative Teams in Strategic Management; D.I. Cleland. Managing Complex Projects by Active Hierarchical Systems; V.I. Voropajev, S.M. Ljubkin. 7: Programme Management. Management of Medium-Size Projects Portfolio; S.D. Bushuyev. 8: Conclusions and Further Research.

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Book SynopsisThis is clear from the recent literature on land-use management, spatial analysis and spatial planning, which increasingly includes references to multicriteria methodologies and decision analysis.Table of ContentsPreface. I. Problem Structuring for Land-Use Management. II. The Multiple Dimensions of Land-Use Management. III. Multiple Actors and Multiple Perspectives in Land-Use Decisions. IV. Spatial Information in Land-Use Management. V. Looking Ahead. List of Authors.

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Book SynopsisFirst Part Preparation of the Investment.- 1. Investments in the Company.- 2. Programming Investment Activity.- 3. Financial Risk of Investment.- 4. Analysis of financial products for the investment.- Second Part Selection.- 5. A first approximation to selection models.- 6. Selection of investments in an economy with inflation.- 7. Taxation in uncertainty.- 8. Wear and tear in the investment process.- 9. The incidence of technical progress on investments.- 10. Estimating economic parameters in investment.- 11. Investment selection based on diversified criteria.- 12. Investment in the event of non-specified criteria.- 13. Optimum distribution of financial resources.- 14. Neural networks in investment.- Three Handling the problem of equipment.- 15. Economic renewal of industrial equipment.- 16. Equipment performance.- 17. Preventive maintenance of equipment in uncertainty.- Conclusions.Table of ContentsIntroduction. Part One: Preparation of the Investment. 1. Investment in the Company. 2. Programming Investment Activity. 3. Financial Risk of Investment. 4. Analysis of Financial Products for the Investment. Part Two: Selection. 5. A First Approximation to Selection Models. 6. Selection of Investments in an Economy with Inflation. 7. Taxation in Uncertainty. 8. Wear and Tear in the Investment Process. 9. The Incidence of Technical Progress on Investments. 10. Estimating Economic Parameters in Investment. 11. Investment Selection Based on Diversified Criteria. 12. Investment in the Event of Non-Specified Criteria. 13. Optimum Distribution of Financial Resources. 14. Neural Networks in Investment. Part Three: Handling the Problem of Equipment. 15. Economic Renewal of Industrial Equipment. 16. Equipment Performance. 17. Preventive Maintenance of Equipment in Uncertainty. Conclusions. Bibliography.

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Book SynopsisThe present book fmds its roots in the International Conference on Methods and Applications of Multiple Criteria Decision Making held in Mons in May 1997.Table of ContentsPreface. Fuzzures and Futurgets; H. Raynaud. Conjoint Measurement without Additivity and Transitivity; D. Bouyssou, M. Pirlot. Choice from Comparisons: A Survey of Game-Theoretical Methods; J.-F. Laslier. A Step to Life Decision Problems: Verbal Decision Analysis; O. Larichev. The Chaining Interaction Index Among Players in Cooperative Games; J.-L. Marichal, M. Roubens. DEA and MCDA: Competing or Complementary Approaches? V. Belton, T.J. Stewart. Comparisons of MCDA Paradigms; D.L. Olson, et al. Multi-Attribute Selection Using Discrete Frontier Profiling; C. Tofallis. The Macbeth Approach: Basic Ideas, Software, and an Application; C.A. Bana e Costa, J.-C. Vansnick. Applying Electre to an Option Choice Problem within an Environmental Appraisal - Three Case Studies from the Republic of Ireland; M. Rogers, M. Bruen. Topic Index.

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Book SynopsisDue to the increasing complexity of technological systems and the higher geographical density of punctual hazard sources, new methodologies and a novel approach to these problems are challenging risk managers and regional planers.Table of ContentsPreface. Foreword. Acknowledgements. 1. Risk Engineering in a Complex World. 2. Introduction and Background to Risk Engineering. 3. Decision Sciences and Stakeholders Processes. 4. Established Methods in Risk Engineering. 5. Fuzzy Logic in Risk Engineering. 6. `Fuzzy Risk Analysis' on Plant and Regional Level. 7. Decision Support Systems in Risk Engineering. 8. Risk Engineering and Beyond. References. Index. Appendix.

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Book SynopsisLectures.- Pesticide Fate Models and their use. FOCUS Activities.- Models used in the USA for the Evaluation of Pesticide Exposure, Hazard and Risk Assessment.- Quality assurance in environmental modelling.- Possible approaches for pesticides environmental impact management.- Pesticide leaching modelling validation A Recent European Experience.- Evaporation of pure liquids from open surfaces.- Application of USES for estimation of PEC of pesticides and hazard assessment for aquatic environment.- Modelling of operator exposure.- Use of alarm model in accidental pollution of Danube River Case study..- Results of the use of two environmental models for pesticides ranking by hazard.- Recent developments in environmental modelling at Trent University, Canada.- MACRO: a preferential flow model to simulate pesticide leaching and movement to drains.- A scientific and technological framework for evaluating comparative risk in ecological risk assessments.- Comparing two alternative pollutant disTable of ContentsForeword. Acknowledgements. Lectures. Pesticide Fate Models and their use. FOCUS Activities; J.B.H.J. Linders. Models used in the USA for the Evaluation of Pesticide Exposure, Hazard and Risk Assessment; M.H. Russell. Quality assurance in environmental modelling; G. Dura, E. Laszlo. Possible approaches for pesticides environmental impact management; M.G. Prodanchuk, A.P. Kravchuk. Pesticide leaching modelling validation. A Recent European Experience; M. Vanclooster. Evaporation of pure liquids from open surfaces; F.C. Arnold, A.J. Engel. Application of USES for estimation of PEC of pesticides and hazard assessment for aquatic environment; V. Kambourova, K. Vassilev. Modelling of operator exposure; A. Fait, B.S. Iversen. Use of alarm model in accidental pollution of Danube River: Case study; S. Chitimiea, A. Varduca. Results of the use of two environmental models for pesticides ranking by hazard; F. Kaloyanova, et al. Recent developments in environmental modelling at Trent University, Canada; I. Cousins, et al. MACRO: a preferential flow model to simulate pesticide leaching and movement to drains; S. Beulke, et al. A scientific and technological framework for evaluating comparative risk in ecological risk assessments; J.M. Johnston. Comparing two alternative pollutant dispersion models and actual data within an environmental health information Processing System (EHIPS); B. Balter, et al. RBCA Toolkit: Comprehensive Risk-based modelling system for soil and groundwater clean-up; J.A. Connor, et al. Danish EPA use of models for assessment of pesticides mobility; C.D. Hansen. An optimization model for the control of regional air quality in Europe; M. Amann, et al. Spatial refinement of regional exposure assessment; V. Berding, et al. Country Reports. Conclusions and Recommendations.

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Book SynopsisLectures.- Pesticide Fate Models and their use. FOCUS Activities.- Models used in the USA for the Evaluation of Pesticide Exposure, Hazard and Risk Assessment.- Quality assurance in environmental modelling.- Possible approaches for pesticides environmental impact management.- Pesticide leaching modelling validation A Recent European Experience.- Evaporation of pure liquids from open surfaces.- Application of USES for estimation of PEC of pesticides and hazard assessment for aquatic environment.- Modelling of operator exposure.- Use of alarm model in accidental pollution of Danube River Case study..- Results of the use of two environmental models for pesticides ranking by hazard.- Recent developments in environmental modelling at Trent University, Canada.- MACRO: a preferential flow model to simulate pesticide leaching and movement to drains.- A scientific and technological framework for evaluating comparative risk in ecological risk assessments.- Comparing two alternative pollutant disTable of ContentsForeword. Acknowledgements. Lectures. Pesticide Fate Models and their use. FOCUS Activities; J.B.H.J. Linders. Models used in the USA for the Evaluation of Pesticide Exposure, Hazard and Risk Assessment; M.H. Russell. Quality assurance in environmental modelling; G. Dura, E. Laszlo. Possible approaches for pesticides environmental impact management; M.G. Prodanchuk, A.P. Kravchuk. Pesticide leaching modelling validation. A Recent European Experience; M. Vanclooster. Evaporation of pure liquids from open surfaces; F.C. Arnold, A.J. Engel. Application of USES for estimation of PEC of pesticides and hazard assessment for aquatic environment; V. Kambourova, K. Vassilev. Modelling of operator exposure; A. Fait, B.S. Iversen. Use of alarm model in accidental pollution of Danube River: Case study; S. Chitimiea, A. Varduca. Results of the use of two environmental models for pesticides ranking by hazard; F. Kaloyanova, et al. Recent developments in environmental modelling at Trent University, Canada; I. Cousins, et al. MACRO: a preferential flow model to simulate pesticide leaching and movement to drains; S. Beulke, et al. A scientific and technological framework for evaluating comparative risk in ecological risk assessments; J.M. Johnston. Comparing two alternative pollutant dispersion models and actual data within an environmental health information Processing System (EHIPS); B. Balter, et al. RBCA Toolkit: Comprehensive Risk-based modelling system for soil and groundwater clean-up; J.A. Connor, et al. Danish EPA use of models for assessment of pesticides mobility; C.D. Hansen. An optimization model for the control of regional air quality in Europe; M. Amann, et al. Spatial refinement of regional exposure assessment; V. Berding, et al. Country Reports. Conclusions and Recommendations.

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Book SynopsisConscience is an essential human attribute. Nevertheless, in the construction of formal models of the subject it is customarily left outside the framework of theoretical analysis. The Algebra of Conscience, whose first edition appeared in 1982, was the first specialized work modeling the phenomenon of conscience. The method used in this book made it possible to connect moral experience with decision-making procedures on the level of mathematical models. The application of such models allows us to propose the hypothesis of two fundamentally different ethical systems determining the normative patterns of human behavior in situations of conflict. Under the first ethical system the subject''s self-esteem is raised if the subject seeks to resolve the conflict; in the second it is raised by seeking to dramatize the conflict. The new edition of TheTable of ContentsForeword; A. Rapoport. Acknowledgments to the second edition. Acknowledgments to the first edition. Preface to the second ediction. Introductory Chapter. Part One: Ethical Systems. I. Moral Cognition. II. Ethical Systems and Boolean Algebra. III. Boolean Algebra, Exponent, Logarithm. IV. Individuals, Reflexion, and Interaction. V. Automata with Semantics and Ethical Status. VI. A Formal Representation of Doubts and Feelings. VII. A Formal Comparison of Ethical Systems: Guilt, Condemnation, Doubt. VIII. A Formal Comparison of Ethical Systems: Doubts and Ethical Status. IX. Ethical Analysis of Artistic and Propagandistic Literature. X. Experimental Analysis of Normative Individuals. XI. The Principle of Maximization of the Ethical Status of One's Image of Oneself. XII. Feelings and Sacrifices. XIII. Formal Connections between Modules of Inner Structures and Individuals. XIV. Interaction. Activity and Its Measure. XV. Ethical Typology in the Novel Crime and Punishment by Dostoevsky. XVI. Ideology, Morality, and Political Organization. XVII. Generalization. Proof of Existence of Ethically Non-Measurable Situations. Part Two: Moral Choice. I. The Tree-Faced Janus: An Initial Metaphor for the Model of the Subject. II. A Boolean Model of Bipolar Choice. III. Metachoice. IV. Modeling of Awareness. V. The Prisoner's Dilemma. VI. The Morality of Results and the Morality of Means. VII. A Boolean-Linear Model of the Subject. VIII. Examples of Modeling the Process of Choice. IX. Imitation of the Other. X. The subject Controlling His Relationships with Another Subject. XI. Two Aspects of Choice. XII. Generalization of Classical Game Theory of 2×2 Zero-Sum Game. XIII. Risk and Caution. XIV. The Non-Linear Model of the Subject. XV. Subject with a Quadratic Model of the Situation. XVI. Streams of Consciousness and Difference Equations. XVII. Streams of Consciousness and Acts of Awareness Epilogue to Part Two. Appendices. References. Index of Names. Subject Index.

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Book Synopsis1 Mixing Methods for Organisational Intervention: Background and Current Status.- 2 Towards a General Holistic Framework for Improving and Controlling Human Activity Systems.- 3 Framing: A Meta-Framework for the Use of Mixed-Mode Modelling.- 4 Introducing Forecasting and Monitoring Methods to an SME: the Role of Soft Systems Methodology.- 5 Assessment of the Value of Knowledge Transferred: a Mixed-Mode Approach.- 6 Hard Decisions, Soft Data: Localised Context-Rich Solutions to Problems of New Product Development.- 7 The Fundamentals of Yield Management.- 8 Management and Wellbeing in the UK.- 9 The Use of Mixed-Mode Modelling in Determining Best Practice for a Business.- 10 A Skill Assessment Process for Information Systems Professionals.Table of ContentsContributors. Preface. 1. Mixing Methods for Organisational Intervention: Background and Current Status; S. Clarke. 2. Towards a General Holistic Framework for Improving and Controlling Human Activity Systems; G. Bell, et al. 3. Framing: A Meta-Framework for the Use of Mixed-Mode Modelling; J. Davies, V. Mabin. 4. Introducing Forecasting and Monitoring Methods to an SME: the Role of Soft Systems Methodology; J. Boylan, M. Williams. 5. Assessment of the Value of Knowledge Transferred: A Mixed-Mode Approach; K. Dhir. 6. Hard Decisions, Soft Data: Localised Context-Rich Solutions to Problems of New Product Development; M. Enright. 7. The Fundamentals of Yield Management; I. Yeoman, A. Ingold. 8. Management and Wellbeing in the UK; G. Jack, B. Lehaney. 9. The Use of Mixed-Mode Modelling in Determining Best Practice for a Business; M. Nicholls, B. Cargill. 10. A Skill Assessment Process for Information Systems Professionals; M.G. Hunter.

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Book SynopsisThe Economics of Information and Public Policy.- 1 : Theory.- 1. Industrial Policy, Optimal Majorities and How These Can Prevent Capture.- 2. On the Role of Lobbies in Policy Making.- 3. Delegated Control of Incentives in Regulated Industries.- 4. Firms, Unions and Regulators.- 2 : Applications.- 5. Implementation Practices In Regulation: An Analysis of the UK Experience.- 6. Public Procurement In The EU.- 7. Agency and Health Care.- 8. Incentive Failure and the Market for Information Goods.Table of ContentsPreface; M. Marrelli, G. Pignataro. Acknowledgements. Contributors. Introduction: The Economics of Information and Public Policy; J.-J. Laffont. Part 1: Theory. 1. Industrial Policy, Optimal Majorities and How These Can Prevent Capture; M. Marrelli, F. Stroffolini. 2. On the Role of Lobbies in Policy Making; I. Mazza. 3. Delegated Control of Incentives in Regulated Industries; F. Lapecorella. 4. Firms, Unions and Regulators; G. Pignataro. Part 2: Applications. 5. Implementation Practices In Regulation: An Analysis of the UK Experience; M. Waterson, M. Vagliasindi. 6. Public Procurement in the EU; I. Rizzo. 7. Agency and Health Care; A. Jones, R. Zanola. 8. Incentive Failure and the Market for Information Goods; M. Trimarchi. Index.

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Book Synopsis1 Introduction to Fuzzy Sets.- 1.1 Crispness, Vagueness, Fuzziness, Uncertainty.- 1.2 Fuzzy Set Theory.- I: Fuzzy Mathematics.- 2 Fuzzy Sets-Basic Definitions.- 3 Extensions.- 4 Fuzzy Measures and Measures of Fuzziness.- 5 The Extension Principle and Applications.- 6 Fuzzy Relations and Fuzzy Graphs.- 7 Fuzzy Analysis.- 8 Uncertainty Modeling.- II: Applications of Fuzzy Set Theory.- 9 Fuzzy Logic and Approximate Reasoning.- 10 Fuzzy Sets and Expert Systems.- 11 Fuzzy Control.- 12 Fuzzy Data Bases and Queries.- 13 Fuzzy Data Analysis.- 14 Decision Making in Fuzzy Environments.- 15 Applications of Fuzzy Sets in Engineering and Management.- 16 Empirical Research in Fuzzy Set Theory.- 17 Future Perspectives.- Abbreviations of Frequently Cited Journals.Trade ReviewFrom the preface to the Fourth Edition by H.-J. Zimmermann `I hope that this new edition of my textbook will help to keep respective courses in universities and elsewhere up-to-date and challenging and motivating for students as well as professors. It may also be useful for practitioners that want to update their knowledge of fuzzy technology and look for new applications in their area.'Table of ContentsList of Figures. List of Tables. Foreword. Preface. Preface to the Fourth Edition. 1. Introduction to Fuzzy Sets. Part I: Fuzzy Mathematics. 2. Fuzzy Sets - Basic Definitions. 3. Extensions. 4. Fuzzy Measures and Measures of Fuzziness. 5. The Extension Principle and Applications. 6. Fuzzy Relations and Fuzzy Graphs. 7. Fuzzy Analysis. 8. Uncertainty Modeling. Part II: Applications of Fuzzy Set Theory. 9. Fuzzy Logic and Approximate Reasoning. 10. Fuzzy Sets and Expert Systems. 11. Fuzzy Control. 12. Fuzzy Data Bases and Queries. 13. Fuzzy Data Analysis. 14. Decision Making in Fuzzy Environments. 15. Applications of Fuzzy Sets in Engineering and Management. 16. Empirical Research in Fuzzy Set Theory. 17. Future Perspectives.

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Book Synopsis1. Introduction.- 2. The Multiple Criteria Problem.- 4. Preference Modelling.- 5. Value Function Methods: Practical Basics.- 6. Value Function Methods: Indirect and Interactive.- 7. Goal and Reference Point Methods.- 8. Outranking Methods.- 9. Implementation of MCDA: Practical Issues and Insights.- 10. MCDA in a Broader Context.- 11. An Integrated Approach to MCDA.- Appendices.- MCDA Software Survey.- Glossary of Terms and Acronyms.- References.Trade Review`The book...is an excellent overview of the different multiple criteria approaches developed in divergent schools of thought which emerged in the last three decades. This book is not only a theoretical document, but also provides good coverage of practical issues. It can be recommended to a broad audience, ranging from those in academic institutions to practitioners, as well as those who are interested in finding information on multiple criteria approaches, methods and techniques. It is an excellent book in the main area of Operations Research and Decision Analysis, with a special focus on Multiple Criteria and is suitable for undergraduate and graduate students.' José R. Figueira, DIMACS Center, Rutgers UniversityTable of ContentsList of Figures. List of Tables. List of Example Panels. Preface. Acknowledgments. 1. Introduction. 2. The Multiple Criteria Problem. 3. Problem Structuring. 4. Preference Modelling. 5. Value Function Methods: Practical Basics. 6. Value Function Methods: Indirect and Interactive. 7. Goal and Reference Point Methods. 8. Outranking Methods. 9. Implementation of MCDA: Practical Issues and Insights. 10. MCDA in a Broader Context. 11. An Integrated Approach to MCDA. Appendices. References. Index.

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Book Synopsis1 An Overview.- I Introduction.- 2 Genetic Algorithms in Economics and Finance.- 3 Genetic Programming: A Tutorial.- II Forecasting.- 4 GP and the Predictive Power of Internet Message Traffic.- 5 Genetic Programming of Polynomial Models for Financial Forecasting.- 6 NXCS: Hybrid Approach to Stock Indexes Forecasting.- III Trading.- 7 EDDIE for Financial Forecasting.- 8 Forecasting Market Indices Using Evolutionary Automatic Programming.- 9 Genetic Fuzzy Expert Trading System for NASDAQ Stock Market Timing.- IV Miscellaneous Applications Domains.- 10 Portfolio Selection and Management.- 11 Intelligent Cash Flow: Planning and Optimization Using GA.- 12 The Self-Evolving Logic of Financial Claim Prices.- 13 Using GP to Predict Exchange Rate Volatility.- 14 EDDIE for Stock Index Options and Futures Arbitrage.- V Agent-Based Computational Finance.- 15 A Model of Boundedly Rational Consumer Choice.- 16 Price Discovery in Agent-Based Computational Modeling of the Artificial Stock Market.- 17Table of ContentsList of Figures. List of Tables. Preface. 1. An Overview; S.-H. Chen. Part I: Introduction. 2. Genetic Algorithms in Economics and Finance; A.E. Drake, R.E. Marks. 3. Genetic Programming: A Tutorial; S.-H. Chen, et al. Part II: Forecasting. 4. GP and the Predictive Power of Internet Message Traffic; J.D. Thomas, K. Sycara. 5. Genetic Programming of Polynomial Models for Financial Forecasting; N.Y. Nikolaev, H. Iba. 6. NXCS: Hybrid Approach to Stock Indexes Forecasting; G. Armano, et al. Part III: Trading. 7. EDDIE for Financial Forecasting; E.P.K. Tsang, J. Li. 8. Forecasting Market Indices Using Evolutionary Automatic Programming; O'Neil, et al. 9.Genetic Fuzzy Expert Trading System for NASDAQ Stock Market Timing; S.S. Lam, et al. Part IV: Miscellaneous Applications Domains. 10. Portfolio Selection and Management; J.G.L. Lazo, et al. 11. Intelligent Cash Flow: Planning and Optimization Using GA; M.A.C. Pacheco, et al. 12. The Self-Evolving Logic of Financial Claim Prices; T.H. Noe, J. Wang. 13. using GP to Predict Exchange Rate Volatility; C.J. Neely, P.A. Weller. 14. EDDIE for Stock Index Options and Futures Arbitrage; S. Markose, et al. Part V: Agent-Based Computational Finance. 15. A Model of Boundedly Rational Consumer Choice; T. Riechmann. 16. Price Discovery in Agent-Based Computational Modeling of the Artificial Stock Market; S.-H. Chen, C.-C. Liao. 17. Individual Rationality as a Partial Impediment to Market Efficiency; S.-H. Chen, et al. 18. A Numerical Study on the Evolution of Portfolio Rules; G. Caldarelli, et al. 19. Adaptive Portfolio Managers in Stock Markets; K.Y. Szeto. 20. Learning and Convergence to Pareto Optimality; C.R. Birchenhall, J.-S. Lin. Part VI: Retrospect and Prospect. 21. The New Evolutionary Computational Paradigm; S.M. Markose. Index.

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Book SynopsisI: Methods for Knowledge Management.- 1. Where will Knowledge Management Take Us?.- 2. Knowledge Capitalization with a Knowledge Engineering Approach: The Mask Method.- II: Knowledge-Based Approaches.- 3. Capitalizing and Sharing Know and Know-How: An Approach Based on a Task/Method Knowledge-Based System.- 4. Integration of Development, Maintenance and use of Knowledge Bases: Seamless Structured Knowledge Acquisition.- III: Ontologies and Documents.- 5. Maintaining Ontologies with Organisational Memories.- 6. Enabling Workflow-Embedded OM Access with the Decor Toolkit.- 7. Knowledge and Business Processes: Approaching an Integration.- 8. SAMOVAR: Using Ontologies and Text-Mining for Building an Automobile Project Memory.- 9. FAQ-Centered Organizational Memory.- IV: Case-Based Reasoning Approaches.- 10. A Knowledge Management Initiative by UK Local Government.- 11. Knowledge-Based Project Planning.- V: Distributed and Collaborative Approaches.- 12. Unifying or Reconciling When ConstrucTable of ContentsList of Contributors. Preface. Acknowledgements. Part I: Methods for Knowledge Management. 1. Where Will Knowledge Management Take Us? K. Baker. 2. Knowledge Capitalization with a Knowledge Engineering Approach: the Mask Method; N. Matta, et al. Part II: Knowledge-based Approaches. 3. Capitalizing and Sharing Know and Know-how: an Approach Based on a Task/Method Knowledge-based System; F. Trichet, et al. 4. Integration of Development, Maintenance and Use of Knowledge Bases: Seamless Structured Knowledge Acquisition; P. Parpola. Part III: Ontologies and Documents. 5. Maintaining Ontologies with Organisational Memories; Y. Kalfoglou. 6. Enabling Workflow-Embedded OM Access with the Decor Toolkit; A. Abecker, et al. 7. Knowledge and Business Processes: Approaching an Integration; S. Staab, H.-P. Schnurr. 8. SAMOVAR: Using Ontologies and Text-mining for Building and Automobile Project Memory; J. Golebiowska, et al. 9. Faq-Centered Organizational Memory; S.-H. Wu, et al. Part IV: Case-Based Reasoning Approaches. 10. A Knowledge Management Initiative by UK Local Government; I. Watson. 11. Knowledge-Based Project Planning; H. Muñoz-Avila, et al. Part V: Distributed and Collaborative Approaches. 12. Unifying or Reconciling when Constructing Organizational Memory? Some Open Issues; C. Simone. 13. Domain Ontology Agents in Distributed Organizational Memories; L. van Elst, A. Abecker. 14. Netexpert: Agent-Based ExpertiseLocation by Means of Social and Knowledge Networks; R. Sangüesa, J.M. Pujol. 15. Knowledge Sharing in Distributed Organizations; A. Sørli, et al. 16. Sharing and Checking Organization Knowledge; Y.H.- Chen-Burger. 17. A Model for the Collaborative Design of Multi Point-of-view Terminological Knowledge Based; G. Falquet, C.K. Mottaz Jiang. 18. Building Organizational Memories Using Multi-Dimensional Knowledge Networks; T.H. Lê, L. Lamontagne. Author Index. Index.

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Book SynopsisEconomists and psychologists have, on the whole, exhibited sharply different perspectives on the elicitation of preferences.Table of ContentsThe Effects of Financial Incentives in Experiments: A Review and Capital-Labor-Production Framework; C.F. Camerer, R.M. Hogarth. Commentary 1; D.V. Budescu. Commentary 2; C. Eckel. Analysis of Choice Expectations in Incomplete Scenarios; C.F. Manski. Commentary 1; K.I. Wolpin. Commentary 2; E.U. Weber. Rationality for Economists? D. McFadden. Commentary 1; M.J. Machina. Commentary 2; J. Baron. Anchoring and Acquiescence Bias in Measuring Assets in Household Surveys; M.D. Hurd. Commentary 1; A. Kapteyn. Construal Processes in Preference Assessment; B. Fischhoff , et al. Commentary 1; J. Dominitz. Commentary 2; T.L. McDaniels. Choice Bracketing; D. Read, et al. Commentary 1; G. Keren. Commentary 2; D. Laibson. Economic Preferences or Attitude Expressions? An Analysis of Dollar Responses; D. Kahneman, et al. Commentary 1; S.J. Sherman. Commentary 2; H.R. Varian. Measuring Constructed Preferences: Towards a Building Code; J.W. Payne, et al. Commentary 1; N. Schwarz. Commentary 2; R. Gregory.

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Book SynopsisI. Multivariate Data Analysis and Multicriteria Analysis in Portfolio Selection.- Proposal for the Composition of a Solvent Portfolio with Chaos Theory and Data Analysis.- An Entropy Risk Aversion in Portfolio Selection.- Multicriteria Decision Making and Portfolio Management with Arbitrage Pricing Theory.- II. Multivariate Data Analysis and Multicriteria Analysis in Business Failure, Corporate Performance and Bank Bankruptcy.- The Application of the Multi-Factor Model in the Analysis of Corporate Failure.- Multivariate Analysis for the Assessment of Corporate Performance: The Case of Greece.- Stable Set Internally Maximal: A Classification Method with Overlapping.- A Multicriteria Approach for the Analysis and Prediction of Business Failure in Greece.- A New Rough Set Approach to Evaluation of Bankruptcy Risk.- FINCLAS: A Multicriteria Decision Support System for Financial Classification Problems.- A Mathematical Approach of Determining Bank Risks Premium.- III. Linear and StochasticTable of ContentsI: Multivariate Data Analysis and Multicriteria Analysis in Portfolio Selection. Proposal for the Composition of a Solvent Portfolio with Chaos Theory and Data Analysis; D. Karapistolis, et al. An Entropy Risk Aversion in Portfolio Selection; A. Scarelli. Multicriteria Decision Making and Portfolio Management with Arbitrage Pricing Theory; Ch. Hurson, N. Ricci-Xella. II: Multivariate Data Analysis and Multicriteria Analysis in Business Failure, Corporate Performance and Bank Bankruptcy. The Application of the Multi-Factor Model in the Analysis of Corporate Failure; E.M. Vermeulen, et al. Multivariate Analysis for the Assessment of Corporate Performance: The Case of Greece; Y. Caloghirou, et al. Stable Set Internally Maximal: A Classification Method with Overlapping; A. Couturier, B. Fioleau. A Multicriteria Approach for the Analysis and Prediction of Business Failure in Greece; C. Zopounidis, et al. A New Rough Set Approach to Evaluation of Bankruptcy Risk; S. Greco, et al. FINCLAS: A Multicriteria Decision Support System for Financial Classification Problems; C. Zopounidis, M. Doumpos. A Mathematical Approach of Determining Bank Risks Premium; J. Gupta, Ph. Spieser. III: Linear and Stochastic Programming in Portfolio Management. Designing Callable Bonds Using Simulated Annealing; M.R. Holmer, et al. Towards Sequential Sampling Algorithms for Dynamic Portfolio Management; Z. Chen, et al. The Defeasance in the Framework of Finite Convergence in Stochastic Programming; Ph. Spieser, A. Chevalier. Mathematical Programming and Risk Management of Derivative Securities; L. Clewlow, et al. IV: Fuzzy Sets and Artificial Intelligence Techniques in Financial Decisions. Financial Risk in Investment; J. Gil-Aluja. The Selection of a Portfolio Through a Fuzzy Genetic Algorithm: The POFUGENA Model; E. Lopez-Gonzalez, et al. Predicting Interest Rates Using Artificial Neural Networks; Th. Politof, D. Ulmer. V: Multicriteria Analysis in Country Risk Evaluation. Assessing Country Risk Using Multicriteria Analysis; M. Doumpos, et al. Author Index.

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Book Synopsis1: Dynamics, Stochastic Models and Uncertainty.- 2: Modelling: Markov Chains and Markov Processes.- 3: Random Walks and Stochastic Differential Equations.- 4: Jump Processes and Special Problems.- 5. Memory, Volatility Models and The Range Process.- 6. Dynamic Optimization.- 7. Numerical and Optimization Techniques.Trade Review`I found the book interesting for its many explanations, examples of different models, and concrete recommendations for control and management. It will be useful to students and also practitioners.' Short Book Reviews, 19:2 (1999) Table of ContentsForeword; Alain Bensoussan. 1. Dynamics, Stochastic Models and Uncertainty. 2. Modelling; Markov Chains and Markov Processes. 3. Random Walks and Stochastic Differential Equations. 4. Jump Processes and Special Problems. 5. Memory, Volatility Models and the Range Process. 6. Dynamic Optimization. 7. Numerical and Optimization Techniques.

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Book Synopsis1 Tabu Search Background.- 2 TS Foundations: Short Term Memory.- 3 TS Foundations: Additional Aspects of Short Term Memory.- 4 TS Foundations: Longer Term Memory.- 5 Tabu Search Principles.- 6 Tabu Search in Integer Programming.- 7 Special Tabu Search Topics.- 8 Tabu Search Applications.- 9 Connections, Hybrid Approaches and Learning.- 10 Neglected Tabu Search Strategies.- References.Table of ContentsPreface. 1. Tabu Search Background. 2. TS Foundations: Short Term Memory. 3. TS Foundations: Additional Aspects of Short Term Memory. 4. TS Foundations: Longer Term Memory. 5. Tabu Search Principles. 6. Tabu Search In Integer Programming. 7. Special Tabu Search Topics. 8. Tabu Search Applications. 9. Connections, Hybrid Approaches and Learning. 10. Neglected Tabu Search Strategies. References. Index.

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Book Synopsis1 Linear and Integer Linear Optimization.- 2 Linear Systems and Projection.- 3 Linear Systems and Inverse Projection.- 4 Integer Linear Systems: Projection and Inverse Projection.- 5 The Simplex Algorithm.- 6 More on Simplex.- 7 Interior Point Algorithms: Polyhedral Transformations.- 8 Interior Point Algorithms: Barrier Methods.- 9 Integer Programming.- 10 Projection: Benders' Decomposition.- 11 Inverse Projection: Dantzig-Wolfe Decomposition.- 12 Lagrangian Methods.- 13 Sparse Methods.- 14 Network Flow Linear Programs.- 15 Large Integer Programs: Preprocessing and Cutting Planes.- 16 Large Integer Programs: Projection and Inverse Projection.- VI Appendix.- A Polyhedral Theory.- A.1 Introduction.- A.2 Concepts and Definitions.- A.3 Faces of Polyhedra.- A.4 Finite Basis Theorems.- A.5 Inner Products, Subspaces and Orthogonal Subspaces.- A. 6 Exercises.- B Complexity Theory.- B.1 Introduction.- B.2 Solution Sizes.- B.3 The Turing Machine.- B.4 Complexity Classes.- B.5 Satisfiability.- B.Trade ReviewFrom the reviews of the first edition: "This book is a very comprehensive textbook of linear and integer optimization. It presents a unified approach to the subject and is one of the few books treating linear and integer aspects together. … This is an interesting book with special features. … The text is written in a clear and readily comprehensible way, and it contains computer programs as well as many examples being helpful for students. This book is an important textbook of mathematical programming." (Johannes Jahn, Zentralblatt MATH, Vol. 1053 (4), 2005)Table of ContentsPreface. Part I: Motivation. 1. Linear and Integer Linear Optimization. Part II: Theory. 2. Linear Systems and Projection. 3. Linear Systems and Inverse Projection. 4. Integer Linear Systems: Projection and Inverse Projection. Part III: Algorithms. 5. The Simplex Algorithm. 6. More on Simplex. 7. Interior Point Algorithms: Polyhedral Transformations. 8. Interior Point Algorithms: Barrier Methods. 9. Integer Programming. Part IV: Solving Large Scale Problems: Decomposition Methods. 10. Projection: Benders's Decomposition Methods. 11. Inverse Projection: Dantzig-Wolfe Decomposition. 12. Lagrangian Methods. Part V: Solving Large Scale Problems: Using Special Structure. 13. Sparse Methods. 14. Network Flow Linear Programs. 15. Large Integer Programs: Preprocessing and Cutting Planes. 16. Large Integer Programs: Projection and Inverse Projection. Part VI: Appendix. A. Polyhedral Theory. B. Complexity Theory. C. Basic Graph Theory. D. Software and Test Problems. E. Notation. Bibliography. References. Author Index. Topic Index.

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Book Synopsis1. Multiple Criteria Decision Making: An Introduction.- 2. Multiobjective Optimisation Methods.- 3. Satisficing MCDM Approaches: Goal Programming.- 5. Miscellaneous Questions.- 6. A First Linkage: CP and Bi-Attribute Utility.- 7. Joint Production Shadow Prices and the Three Optima Theorem.- 8. A Further Linkage: Multi-Attribute Utility in a Risk Aversion Context.- References.Table of ContentsPreface. 1. Multiple Criteria Decision Making: An Introduction. 2. Multiobjective Optimisation Methods. 3. Satisficing MCDM Approaches: Goal Programming. 4. Multiattribute Utility Approaches. 5. Miscellaneous Questions. 6. A First Linkage: CP and Bi-Attribute Utility. 7. Joint Production Shadow Prices and the Three Optima Theorem. 8. A Further Linkage: Multi-Attribute Utility in a Risk Aversion Context. References. Index.

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Book SynopsisI Natural Resources and Environmental Decision Making.- Design of a Decision Support System for use in the Event of a Nuclear Emergency.- Contaminated Aquatic Ecosystems Restoration: A Case Study.- Is Economic Growth Compatible with the Respect for the Environment?.- Sow Model for Decision Aid at Farm Level.- Intelligent Decision Support for Reservoir Operations.- Analysis of Livestock Production Systems via Compromise Programming.- Using Mathematical Models in the Management of Forest Industries.- II Medical Decision Making.- Automatic Diagnostic of Breast Cancer: A Case Study.- Decision Analysis for a Data Monitoring Committee of a Clinical Trial.- Optimal Design in Longitudinal Data Models.- An Intelligent Decision System for Jaundice Management in Newborn Babies.- III Economics and Finance.- A Theory of Possibility Approach to The Solution of a Fuzzy Linear Programming.- Measuring the Arbitrage Opportunities in an Intertemporal Dynamic Asset Pricing Model.- Work-leisure Trade-off iTable of ContentsPreface. I: Natural Resources and Environmental Decision Making. Design of a Decision Support Systems for Use in the Event of a Nuclear Emergency; S. French, et al. Contaminated Aquatic Ecosystems Restoration: A Case Study; E. Gallego, et al. Is Economic Growth Compatible with the Respect for the Environment? M.P. Martínez García, M. Del Mar Sánchez de la Vega. Sow Model for Decision Aid at Farm Level; L.M. Plà, et al. Intelligent Decision Support for Reservoir Operations; D. Ríos Insua, et al. Analysis of Livestock Production Systems via Compromise programming; A. Teruel Doñate, A. Allueva Pinilla. Using Mathematical Models in the Management of Forest Industries; A. Weintraub. II: Medical Decision Making. Automatic Diagnosis of Breast Cancer: A Case Study; F.J. Girón, et al. Decision Analysis for a Data Monitoring Committee of a Clinical Trial; J.B. Kadane, et al. Optimal Design in Longitudinal Data Models; P. Müller, J.L. Palmer. An Intelligent Decision System for Jaundice Management in New born Babies; S. Ríos-Insua, et al. III: Economics and Finance. A Theory of Possibility Approach to the Solution of a Fuzzy Linear Programming; M. Mar Arenas, et al. Measuring the Arbitrage Opportunities in an Intertemporal Dynamic Asset Pricing Model; A. Balbás, et al. Work-Leisure Trade-Off in a Workers' Enterprise: A Decision Analysis Approach; E. Ballestero, C. Romero. Implementing Financial Equilibrium of Incomplete Markets: Bounded Portfolios and the Limiting Case; M. Florenzano, et al. IV: Educational Applications. A Decision Analysis Approach to Multiple-Choice Examinations; J.M. Bernardo. Equilibrium Policies among University Departments; R. Caballero, etal. V: Miscellaneous Applications. Evaluation of Alternatives for the Disposition of Surplus Weapons-Usable Plutonium; J.S. Dyer, et al. A Graphical Model for Equipment Maintenance and Replacement Problems; A. Lekuona, et al. VI: Epilog. Decision Analysis for Private and Public Sector Decisions; R.K. Sarin.

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Book SynopsisI: The Problem Solving Process.- 1. The Context of Problem Solving.- 2. Problem Identification: The Elements of Decision Making.- 3. Problem Definition.- 4. Problem Solution.- 5. Summary.- 6. Problems.- II: The Analytic Modeling Process.- 1. From Problem to Model.- 2. Structural Models.- 3. Formal Models.- 4. Resolution Models.- 5. Interactive Complete Strong Preference Ordering.- 6. Summary.- 7. Problems.- III: Descriptive Assessment Criteria and Weights.- 1. Relative Intensities and Weights.- 2. Hierarchical Decomposition of Criteria.- 3. Aggregation of Criteria.- 4. Summary and Further Readings.- 5. Problems.- IV: Descriptive Assessment Alternatives and Ranking.- 1. Structural Model of Descriptive Approaches.- 2. Formal and Resolution Models.- 3. Sensitivity Analysis.- 4. Summary and Further Readings.- 5. Problems.- V: Values and Normative Choice.- 1. The Structural Model.- 2. The Formal Model of Value Theory.- 3. The Resolution Model.- 4. Summary and Further Readings.- 5. ProblemTable of ContentsPreface. Introduction. I. The Problem Solving Process. II. The Analytic Modeling Process. III. Descriptive Assessment - Criteria and Weights. IV. Descriptive Assessment - Alternatives and Ranking. V. Values and Normative Choice. VI. Choices Under Uncertainty. VII. Uncertainty and Normative Choice. VIII. Sequential Decision Making. IX. Multi-Actor Decision Making. X. Constraint-Based Policy Optimization. Solutions to Problems. References. Symbol Index. Subject Index.

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Book SynopsisI: The Problem Solving Process.- 1. The Context of Problem Solving.- 2. Problem Identification: The Elements of Decision Making.- 3. Problem Definition.- 4. Problem Solution.- 5. Summary.- 6. Problems.- II: The Analytic Modeling Process.- 1. From Problem to Model.- 2. Structural Models.- 3. Formal Models.- 4. Resolution Models.- 5. Interactive Complete Strong Preference Ordering.- 6. Summary.- 7. Problems.- III: Descriptive Assessment Criteria and Weights.- 1. Relative Intensities and Weights.- 2. Hierarchical Decomposition of Criteria.- 3. Aggregation of Criteria.- 4. Summary and Further Readings.- 5. Problems.- IV: Descriptive Assessment Alternatives and Ranking.- 1. Structural Model of Descriptive Approaches.- 2. Formal and Resolution Models.- 3. Sensitivity Analysis.- 4. Summary and Further Readings.- 5. Problems.- V: Values and Normative Choice.- 1. The Structural Model.- 2. The Formal Model of Value Theory.- 3. The Resolution Model.- 4. Summary and Further Readings.- 5. ProblemTable of ContentsPreface. Introduction. I. The Problem Solving Process. II. The Analytic Modeling Process. III. Descriptive Assessment - Criteria and Weights. IV. Descriptive Assessment - Alternatives and Ranking. V. Values and Normative Choice. VI. Choices Under Uncertainty. VII. Uncertainty and Normative Choice. VIII. Sequential Decision Making. IX. Multi-Actor Decision Making. X. Constraint-Based Policy Optimization. Solutions to Problems. References. Symbol Index. Subject Index.

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Book SynopsisI Non-expected Utility Theory.- 1 Risk and Uncertainty Aversion with Reference to the Theories of Expected Utility, Rank Dependent Expected Utility, and Choquet xpected Utility.- 2 Dynamic Consistency and Non-Expected Utility.- 3 Ambiguity-Aversion and Non-Additive Probability: Experimental Evidence, Models and Applications.- II Non-expected Utility Applications.- 4 Consumption, Savings and Asset Returns with Non-Expected Utility.- 5 Estimating (Risk) Preference Functionals Using Experimental Methods.- 6 Randomisation, Mixed Strategies and the Reduction Axiom.- 7 Experimental Studies of Signaling Games.- 8 Independence between Events with Non-additive Probability.- III New departures from classical decision theory.- 9 Fuzzy Decision Theory.- 10 An Overview of Case-Based Decision Theory.- 11 The Recent Advances in Decision Theory under Uncertainty: a Non-Technical Introduction.- IV Value to Real World: the Experimental Contribution.- 12 Decision Theory and Real Decisions: a Research AgeTable of ContentsPart I: Non-Expected Utility Theory. 1. Risk and Uncertainty Aversion with Reference to the Theories of Expected Utility, Rank Dependent Expected Utility, and Choquet Expected Utility; A. Montesano. 2. Dynamic Consistency and Non-Expected Utility; U. Segal. 3. Ambiguity-Aversion and Non-Additive Probability: Experimental Evidence, Models and Applications; C. Camerer. Part II: Non-Expected Utility Applications. 4. Consumption, Savings and Asset Returns with Non-Expected Utility; L.G. Epstein. 5. Estimating (Risk) Preference Functionals Using Experimental Methods; J.D. Hey. 6. Randomisation, Mixed Strategies and the Reduction Axiom; M. Bernasconi. 7. Experimental Studies of Signaling Games; F. van Winden. 8. Independence between Events with Non-Additive Probability; N. Dimitri. 9. Fuzzy Decision Theory; A. Billot. 10. An Overview of Case-Based Decision Theory; I. Gilboa, D. Schmeidler. 11. The Recent Advances in Decision Theory under Uncertainty: A Non-Technical Introduction; A. Vercelli. Part IV: Value to Real World: The Experimental Contribution. 12. Decision Theory and Real Decisions: A Research Agenda; K.R. MacCrimmon. 13. Policy and the Use of Laboratory Experimental Methodology in Economics; C.R. Plott. 14. Buyer and Seller Effect Disentangled. An Experiment on the Microstructure of Demand; C. Borelli, et al. Index.

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Book Synopsisto a Festschrift.- Behavioral Decision Theory.- On the Interplay of Riskless and Risky Utility.- The Paradoxes of Allais, Stochastic Dominance, and Decision Weights.- Who's Afraid of a Little Risk? New Evidence for General Risk Aversion.- Manipulating Hedonic Strategies of Choice.- How Good Are Fast and Frugal Heuristics?.- Decision Making by Domain Experts: The GNAHM Effect.- Decision Analysis.- On The Relevance of Behavioral Decision Research for Decision Analysis.- Evaluation of Probabilities: A Level Playing Field?.- A Robust Bayesian Look at the Theory of Precise Measurement.- Probabilistic Reasoning and the Science of Complexity.- Linear Inequalities and the Analysis of Multi-Attribute Value Matrices.- Life and Death Decisions for Individuals and Couples.- Robot Ethics, Value Systems and Decision Theoretic Behaviors.- Decision-Theoretic Troubleshooting: A Framework for Repair and Experiment.- Decisions in Society.- Public Values and Public Policy.- Group Elicitation of ProbabilitTable of ContentsPreliminaries. Introduction. 1. Introduction to a Festschrift; B.A. Mellers. Behavioral Decision Theory. 2. On the Interplay of Riskless and Risky Utility; R.D. Luce. 3. The Paradoxes of Allais, Stochastic Dominance, and Decision Weights; M.H. Birnbaum. Who's Afraid of a Little Risk? New Evidence for General Risk Aversion; E.U. Weber. 5. Manipulating Hedonic Strategies of Choice; A. Schwartz, et al. 6. How Good are Fast and Frugal Heuristics?; G. Gigerenzer, et al. 7. Decision Making by Domain Experts: The GNAHM Effect; J. Shanteau. Decision Analysis. 8. On the Relevance of Behavioral Decision Research for Decision Analysis; D. von Winterfeldt. 9. Evaluation of Probabilities: A Level Playing Field? R.L. Winkler. 10. A Robust Bayesian Look at the THeory of Precise Measurement; E. Moreno, et al. 11. Probabilistic Reasoning and the Science of Complexity; D.A. Schum. 12. Linear Inequalities and the Analysis of Multi-Attribute Value Matrices; F. Hutton Barron, B.E. Barrett. 13. Life and Death Decisions for Individuals and Couples; R.A. Howard. 14. Robot Ethics, Value Systems and Decision Theoretic Behaviors; T.S. Levitt. 15. Decision-Theoretic Troubleshooting: A Framework for Repair and Experiment; J.S. Breese, D. Heckerman. Decisions in Society. 16. Public Values and Public Policy; R.L. Keeney. 17. Group Elicitation of Probability Distributions: Are Many Heads Better then One? L.D. Phillips. 18. The QALY Model: Utilities for Cost-Utility Analysis in Health Care; D.G. Fryback. 19. Risk Analysis, Decision Analysis, and the Social Context for Risk Decision Making; P. Slovic, R. Gregory. Historical Notes. 20. The Making of Decision Theory; P.C. Fishburn. 21. A Brief History of SPUDM, or How Europe Took Off on Behavioral Decision Research; C. Vlek. 22. Ward Edwards and New Professional Organizations; J. Shanteau, et al. 23. Some Reflections on Ward Edwards; D.A. Schum. The Last Word. 24. Festschrift: A Book and a Party; W. Edwards.

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Book Synopsis1: From Reengineering to Continuous Process Adaptation.- 2: Process Ecology: A New Metaphor for Reengineering-Oriented Change.- 3: Cross-Functional Process Integration and the Integrated Data Environment 43.- 4: Business Reengineering for Information Technology: From Business Process to System Requirements.- 5: Delivering Results: Evolving BPR from Art to Engineering.- 6: Market- and Product-Oriented Design of Business Processes.- 7: A Configuration-Contingent Enterprise Redesign Model.- 8: BPR Methodologies: Methods and Tools.- 9: Knowledge-Based Reengineering of Business Processes: Leveraging the Power of Natural Language.- 10: Simulation: A Key to Next Generation Manufacturing.- 11: Defense Enterprise Planning and Management.- 12: Supporting Business Process Reengineering in Industry: Towards a Methodology.- 13: Dynamic Simulation in Business Process Redesign.- 14: IBM' s Approach to Reengineering, From a Development Reengineering Perspective.- 15: Networking as an Enabler of BusineTable of ContentsPreface. 1. From Reengineering to Continuous Process Adaptation; A.-W. Scheer, Th. Allweyer. 2. Process Ecology: A New Metaphor for Reengineering-Oriented Change; T.H. Davenport, M.A. Perez-Guardado. 3. Cross-Functional Process Integration and the Integrated Data Environment; T.R. Gulledge, et al. 4. Business Reengineering for Information Technology: From Business Process to System Requirements; S.A. Bohner, et al. 5. Delivering Results: Evolving BPR from Art to Engineering; R.J. Mayer, P.S. DeWitte. 6. Market- and Product-Oriented Design of Business Processes; M. Kirchmer. 7. A Configuration-Contingent Enterprise Redesign Model; M.E. Nissen. 8. BPR Methodologies: Methods and Tools; Minder Chen. 9. Knowledge-Based Reengineering of Business Processes: Leveraging the Power of Natural Language; A. Hars. 10. Simulation: A Key to Next Generation Manufacturing; A. Jones, et al. 11. Defense Enterprise Planning and Management; L.M. Sullivan, et al. 12. Supporting Business Process Reengineering in Industry: Towards a Methodology; P.A. Smart, et al. 13. Dynamic Simulation in Business Process Redesign; J.L. Snowdon. 14. IBM®'s Approach to Reengineering, From a Development Reengineering Perspective; J. Augstine, P. Aspinwall. 15. Networking as an Enabler of Business Process Reengineering; S. Sadagopan. Index.

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Book Synopsis1 Structuring the unstructured.- 2 Mission incomplete.- 3 Board size and corporate failure.- 4 Determinants of corporate performance.- 5 Prominent performance ratios.- 6 A simple formula.- 7 A misleading performance ratio.- 8 Use and misuse of productivity ratios.- 9 The bottom-liners.- 10 In pursuit of market share.- 11 Intrepid gurus.- 12 On competitiveness.- 13 OR at the top.- 14 Managing change.- 15 Closing the gap.- 16 Measuring quality of information systems.- 17 Divide and rule.- 18 Centralism versus federalism.- 19 Hondaism myth and reality.- 20 A cake can be cut in many ways.- 21 Time management.- 22 Management performance appraisal.- 23 What makes Sammy run.- 24 Don't spit in the soup, we all have to eat.- 25 The role of business schools.- 26 Business policy for beginners.Table of ContentsPreface. 1. Structuring the unstructured. 2. Mission incomplete. 3. Board size and corporate failure. 4. Determinants of corporate performance. 5. Prominent Performance ratios. 6. A simple formula. 7. A misleading performance ratio. 8. Use and misuse of productivity ratios. 9. The bottom-liners. 10. In pursuit of market share. 11. Intrepid gurus. 12. On competitiveness. 13. OR at the top? 14. Managing change. 15. Closing the gap. 16. Measuring quality of information systems. 17. Divide and rule. 18. Centralism versus federalism. 19. Hondaism - myth and reality. 20. A cake can be cut in many ways. 21. Time management. 22. Management performance appraisal. 23. What makes Sammy run? 24. Don't spit in the soup, we all have to eat. 25. The role of business schools. 26. Business policy for beginners. Index.

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Book Synopsis1 Shop Scheduling: An Overview.- 1.1 What Is Scheduling?.- 1.2 Machine Scheduling Preliminaries.- 1.3 Intelligent Solutions to Complex Problems.- 1.4 Scheduling Techniques: Analytical, Heuristic and Metaheuristic.- 1.5 Outline of this Text.- 2 What are Genetic Algorithms?.- 2.1 Evolutionary Computation and Biology.- 2.2 Working Principles.- 2.3 The Genetic Search Process.- 2.4 The Simple Genetic Algorithm (SGA).- 2.5 An Application of GA in Numerical Optimization.- 2.6 Genetic Algorithms vs. Traditional ptimization.- 2.7 Theoretical Foundation of GAs.- 2.8 Schema Processing: An Illustration.- 2.9 Advanced Models of Genetic Algorithms.- 3 Calibration of GA Parameters.- 3.1 GA Parameters and the Control of Search.- 3.2 The Role of the Elite who Parent the Next Generation.- 3.3 The Factorial Parametric Study.- 3.4 Experimental Results and Their Interpretation.- 3.5 Chapter Summary.- 4 Flowshop Scheduling.- 4.1 The Flowshop.- 4.2 Flowshop Model Formulation.- 4.3 The Two-Machine Flowshop.-Table of ContentsPreface. 1. Shop Scheduling: An Overview. 2. What are Genetic Algorithms? 3. Calibration of GA Parameters. 4. Flowshop Scheduling. 5. Job Shop Scheduling. 6. Multiobjective Optimization. 7. Niche Formation and Speciation: Foundations of Multiobjective GAs. 8. The Nondominated Sorting Genetic Algorithm: NSGA. 9. Multiobjective Flowshop Scheduling. 10. A New Genetic Algorithm for Sequencing the Multiobjective Flowshop. 11. A Comparison of Multiobjective Flowshop Sequencing by NSGA and ENGA. 12. Multiobjective Job Shop Scheduling. 13. Multiobjective Open Shop Scheduling. 14. Epilog and Directions for Further Work. References. Appendix. Glossary. Index.

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Book Synopsis1.Creating Value in Financial Services.- Section I: Customer Value Focused Strategies.- 2. The Changing Global Environment of Financial Services.- 3. Universal Banking: Does it Work?.- 4. Universal Banking: A Shareholder Value Perspective.- 5. Redefining Customer Relationships in the Age of the Ascendant Customer.- 6. Out of the Fog: Creating Value by Assembling and Managing a Portfolio of Services.- 7. Challenges of Product Delivery in Emerging Markets.- 8. Modeling Services of Financial Institutions in Emerging Markets.- Section II Customer Value Focused Services.- 9. Creating Value: Evolution and Management of Financial Derivatives.- 10. Electronic Commerce and Financial Services:Going for Broke?.- 11. The Internet Channel Revolution: The Case of Charles Schwab.- 12. Lessons from Developing the Yield Book.- Section III: Customer Value Focused Systems.- 13. Impending Revolution in Corporate Information Technology Departments.- 14. Financial Service Networks:Access, Cost Structure andTable of ContentsForeword; L. Zicklin. Preface. 1. Creating Value in Financial Services; E.L. Melnick, et al. Section I: Customer Value Focused Strategies. 2. The Changing Global Environment of Financial Services; A.R. Kan. 3. Universal Banking: Does it Work?; D. Rogers. 4. Universal Banking: A Shareholder Value Perspective; I. Walter. 5. Redefining Customer Relationships in the Age of the Ascendant Customer; T.L. Monahan III. 6. Out of the Fog: Creating Value by Assembling and Managing a Portfolio of Services; P.R. Nayyar. 7. Challenges of Product Delivery in Emerging Markets; A. Bhargava. 8. Modeling Services of Financial Institutions in Emerging Markets; E.L. Melnick. Section II: Customer Value Focused Services. 9. Creating Value: Evolution and Management of Financial Derivatives; J.O. Matthews, C.A. Rusinko. 10. Electronic Commerce and Financial Services: Going for Broke?; A. Hosking, et al. 11. The Internet Channel Revolution: The Case of Charles Schwab; S. Dewan, H. Menselson. 12. Lessons from Developing the Yield Book; E.R. Battifarano. Section III: Customer Value Focused Systems. 13. Impending Revolution in Corporate Information Technology Departments; K. McGilloway. 14. Financial Service Networks: Access, Cost Structure and Competition; U.S. Karmarkar. 15. The Potential for Virtual Work to Enhance Value in Financial Services Firms; R.L.M. Dunbar, R. Garud. 16. Designing Electronic Market Institutions for Bond Trading; M. Fan, et al. 17. Staffing Challenges in Financial Services; R.C. Larson, E.J. Pinker. 18. Call Centers in Financial Services: Strategies, Technologies and Operations; M.L. Pinedo, et al. 19. PruServ™: A Call Center Support System; J. Alouisa, et al. Section IV: Customer Value Focused Measures of Success. 20. Process Improvement in Financial Services: A Focused Approach; P.D. Patel. 21. How do Financial Services Stack Up? Findings from a Benchmarking Study of the US Financial Service Sector; R.B. Chase, et al. 22. Value Creation and Process Management: Evidence from Retail Banking; F.X. Frei, P.T. Harker. 23. Bank Productivity: Promises Unrealized; W.I. Cutler. 24. Productivity in Service Industries: Implications of the Boskin Commission Report; R. Solow.

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Book Synopsis1. Learning, Innovation and Urban Evolution: An Introduction.- I: Learning and Knowledge Exchange.- Section A: Theories of Learning and Complex Dynamics.- 2. Innovation and Patterns of Learning: A Survey of Evolutionary Theories.- 3. Emergence and Co-Evolutionary Learning in Self-Organised Urban Development.- 4. Nonlinear Dynamics, Innovation and Metropolitan Development.- Section B: Path-Dependent Processes of Knowledge Exchange.- 5. The Knowledge-Intensive Nature of Japan's Urban Development.- 6. Interurban Knowledge Networks.- 7. Innovation and Urban Planning.- II: Innovation and its Spatial Impacts.- Section C: Economic and Technological Changes.- 8. Product Vintages and Specialisation Dynamics in a Hierarchical Urban System.- 9. The Impact of Research Activities on the European Urban System.- 10. Is the Real Exchange Rate Relevant for Determining the Innovation Potential of European Regions?.- Section D: Impacts of Innovations in Telecommunications and Transport.- 11. Impact of thTable of ContentsPreface. Acknowledgement. 1. Learning, Innovation and Urban Evolution: An Introduction; D.F. Batten, et al. Part I: Learning and Knowledge Exchange. Section A: Theories of Learning and Complex Dynamics. 2. Innovation and Patterns of Learning: A Survey of Evolutionary Theories; M. Cimoli, M. della Giusta. 3. Emergence and Co-Evolutionary Learning in Self-Organised Urban Development; D.F. Batten. 4. Nonlinear Dynamics, Innovation and Metropolitan Development; D.S. Dendrinos. Section B: Path-Dependent Processes of Knowledge Exchange. 5. the Knowledge-Intensive Nature of Japan's Urban Development; K. Kobayashi, et al. 6. Interurban Knowledge Networks; M.J. Beckmann. 7. Innovation and Urban Planning; B. Harris. Part II: Innovation and Its Spatial Impacts. Section C: Economic and Technological Changes. 8. Product Vintages and Specialisation Dynamics in a Hierarchical Urban System; U. Forslund, B. Johansson. 9. The Impact of Research Activities on the European Urban System; S. Magrini. 10. Is the Real Exchange Rate Relevant for Determining the Innovation Potential of European Regions? D. Martellato. Section D: Impacts of Innovations in Telecommunications and Transport. 11. Impact of the New Information Technologies on Economic-Spatial Systems: Towards an Agenda for Future Research; C.S. Bertuglia, S. Occelli. 12. Telematics Innovation and the Development of Non-Metropolitan Areas: Lessons from Policy Experience; A. Gillespie, R. Richardson. 13. The Impact ofInnovations in Telecommunications and Information Systems on Urban Mobility; E. Cascetta, B. Montella. Index. List of Contributors.

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Book Synopsis1 Introduction.- 2 Cooperative Game Theory.- 2.1 Cooperative Decision-Making Problems.- 2.2 Transferable and Non-transferable Utility.- 2.3 Cooperative Games with Transferable Utility.- 2.4 Cooperative Games with Non-Transferable Utility.- 2.5 Chance-Constrained Games.- 3 Stochastic Cooperative Games.- 3.1 The Model.- 3.2 Preferences on Stochastic Payoffs.- 4 The Core, Superadditivity, and Convexity.- 4.1 The Core of a Stochastic Cooperative Game.- 4.2 Superadditive Games.- 4.3 Convex Games.- 4.4 Remarks.- 5 Nucleoli for Stochastic Cooperative Games.- 5.1 Nucleolus Nl.- 5.2 Nucleolus N2.- 5.3 Nucleoli, Core, and Certainty Equivalents.- 5.4 Appendix: Proofs.- 6 Risk Sharing and Insurance.- 6.1 Insurance Games.- 6.2 Subadditivity for Collective Insurances.- 6.3 Remarks.- 6.4 Appendix: Proofs.- 7 Price Uncertainty in Linear Production Situations.- 7.1 Stochastic Linear Production Games.- 7.2 Financial Games.- 7.3 Remarks.- A Probability Theory.- References.Table of ContentsAcknowledgements. Notations. 1. Introduction. 2. Cooperative Game Theory. 3. Stochastic Cooperative Games. 4. The Core, Superadditivity, and Convexity. 5. Nucleoli for Stochastic Cooperative Games. 6. Risk Sharing and Insurance. 7. Price Uncertainty in Linear Production Situations. A Probability Theory. References. Index.

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Book SynopsisI. The Evolution of Scientific Conceptions of Uncertainty and Their Social Underpinnings.- 1. Coping with Uncertainty in Natural Science: 12001700.- 2. Political, Moral, and Economic Decisions and the Origins of the Mathematical Theory of Probability: The Case of Jacob Bernoulli's The Art of Conjecturing.- 3. The Quantification of Uncertainty After 1700: Statistics Socially Constructed?.- 4. Uncertainty and the Conditioning of Beliefs.- 5. The Unity of Probability.- 6. Necessity, Chance, and Freedom.- II. Risk Analysis and Social Responsibility.- 7. Risk in Cultural Perspective.- 8. Statistical Hypothesis Tests and Statistical Power in Pure and Applied Science.- 9. Uncertainty in Environmental Risk Assessment.- 10. Uncertainty in Morals and Politics.- III. Learning and Acting Under Uncertainty.- 11. Re-Modeling Risk Aversion: A Comparison of Bernoullian and Rank Dependent Value Approaches.- 12. Neither Gullible Nor Unteachable Be: Signal Extraction and the Optimal Speed of Learning froTable of ContentsI. The Evolution of Scientific Conceptions of Uncertainty and Their Social Underpinnings.- 1. Coping with Uncertainty in Natural Science: 1200–1700.- 2. Political, Moral, and Economic Decisions and the Origins of the Mathematical Theory of Probability: The Case of Jacob Bernoulli’s The Art of Conjecturing.- 3. The Quantification of Uncertainty After 1700: Statistics Socially Constructed?.- 4. Uncertainty and the Conditioning of Beliefs.- 5. The Unity of Probability.- 6. Necessity, Chance, and Freedom.- II. Risk Analysis and Social Responsibility.- 7. Risk in Cultural Perspective.- 8. Statistical Hypothesis Tests and Statistical Power in Pure and Applied Science.- 9. Uncertainty in Environmental Risk Assessment.- 10. Uncertainty in Morals and Politics.- III. Learning and Acting Under Uncertainty.- 11. Re-Modeling Risk Aversion: A Comparison of Bernoullian and Rank Dependent Value Approaches.- 12. Neither Gullible Nor Unteachable Be: Signal Extraction and the Optimal Speed of Learning from Uncertain News.- 13. Rethinking Rational Expectations.- 14. Multiattribute Decision Models: Task Order and Group Effects.- IV. Coping With Extreme Forms of Uncertainty.- 15. Measuring Vague Uncertainties and Understanding Their Use in Decision Making.- 16. Quantifying Vagueness and Possibility: New Trends in Knowledge Representation.- 17. Chaos and Complexity in Economic and Financial Science.- 18. Information.

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Book Synopsis1. Introduction: Manufacturing Strategy in the Next Decade.- 2. Development of Manufacturing Strategy: A Proven Process.- 3. Europe 1992: Implications for Manufacturing Strategy.- 4. Understanding Functional Decision Making at the Marketing/Manufacturing Interface.- 5. The Nature and Dynamics of Technological Changes in an Automobile Tire Company A Case Study.- 6. Manufacturing Strategy in a Very Low Volume Production Setting: The Reemergence of the U.S. Space Transportation Industry.- 7. Manufacturing Strategy and Performance of the New Venture Firm.- 8. Bridging the Strategic Outcome Measurement Gap in Manufacturing Organizations.- 9. Learning Effects in Cell Manufacturing.- 10. A Conformance Performance Model: Linking Quality Strategies to Business Unit's Performance.- 11. Manufacturing Strategy, Manufacturing Strength, Managerial Success, and Economic Outcomes.- 12. Markets, Manufacturing Strategy, and Technology Acquisition: An Integrative, Developmental Approach.- 13. Pilot PlaTable of Contents1. Introduction: Manufacturing Strategy in the Next Decade.- 2. Development of Manufacturing Strategy: A Proven Process.- 3. Europe 1992: Implications for Manufacturing Strategy.- 4. Understanding Functional Decision Making at the Marketing/Manufacturing Interface.- 5. The Nature and Dynamics of Technological Changes in an Automobile Tire Company — A Case Study.- 6. Manufacturing Strategy in a Very Low Volume Production Setting: The Reemergence of the U.S. Space Transportation Industry.- 7. Manufacturing Strategy and Performance of the New Venture Firm.- 8. Bridging the Strategic Outcome Measurement Gap in Manufacturing Organizations.- 9. Learning Effects in Cell Manufacturing.- 10. A Conformance — Performance Model: Linking Quality Strategies to Business Unit’s Performance.- 11. Manufacturing Strategy, Manufacturing Strength, Managerial Success, and Economic Outcomes.- 12. Markets, Manufacturing Strategy, and Technology Acquisition: An Integrative, Developmental Approach.- 13. Pilot Plants to Assist Industrial FMS Applications.- 14. Manufacturing Strategy and New Venture Origin: An Empirical Analysis.- 15. Technical Audit.- 16. Focus, Modernization, and Manufacturing Technology Policy.- 17. Illuminating the Blind Spot: Examining Linkages Between Manufacturing Technology and Competitive Strategy.- 18. Dimensioning the Service Factory.- 19. Manufacturing Strategy: An Overview of Current Process and Content Models.- 20. The Focus, Span and Links in Research on Operations Management Strategy.- 21. Inventory Reduction and Productivity Growth: A Study of Japanese Automobile Producers.- 22. Intended and Achieved Competitive Priorities: Measures, Frequencies, and Financial Impact.- 23. Strategic Entry into Global Manufacturing Industries: Evidence and New Theoretical Dimensions.- 24. The Productivity Improvement Process: (PIP) International Paper’s Initiatives to Transform a Manufacturing Organization.- 25. Radical Manufacturing Strategies for Failing Firms.

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Book SynopsisList of Figures.- Preface.- Acknowledgments.- SECTION I: The Changing Marketing World.- 1 The Marketing Data Explosion: The Promise and the Reality.- 2 A Necessary Transition.- SECTION II: Knowledge-Based Systems.- 3 An Introduction to Knowledge Systems.- 4 Expert Systems in Marketing. An Introduction.- 5 Textbook Promotion Advisor.- SECTION III: Applications.- 6 A Marketmetrics Knowledge System.- 7 The Coupled System.- 8 Model Animation.- 9 The Promotion Detective.- 10 Dealmaker.- 11 Dealmaker: A Model-Based Reasoning System.- 12 Related Research.- 13 Implementation Issues.- Author Index.Table of ContentsList of Figures.- Preface.- Acknowledgments.- SECTION I: The Changing Marketing World.- 1 The Marketing Data Explosion: The Promise and the Reality.- 2 A Necessary Transition.- SECTION II: Knowledge-Based Systems.- 3 An Introduction to Knowledge Systems.- 4 Expert Systems in Marketing. An Introduction.- 5 Textbook Promotion Advisor.- SECTION III: Applications.- 6 A Marketmetrics Knowledge System.- 7 The Coupled System.- 8 Model Animation.- 9 The Promotion Detective.- 10 Dealmaker.- 11 Dealmaker: A Model-Based Reasoning System.- 12 Related Research.- 13 Implementation Issues.- Author Index.

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Book SynopsisThe prevailing wisdom is changing because many of our organizations are now or will soon be in a state of crisis. Because there are so many changes taking place, it is no wonder that there is continuous clamor for organizational change.Trade Review`It is a well-thought through and solid book that keeps its feet on the ground, but does not shy away from innovative and unconventional thinking... It is a very comprehensive book that is able to leverage both academic concepts and practical realities to advance the state of the art in managing organizational change.' Omar El Sawy, USC Table of ContentsI: Introduction to the Organizational Hologram.- The Organizational Hologram.- The Need for Organizational Holograms.- Overview of The Theory of the Organizational Hologram.- The Crisis at White Metals and Manufacturing, Inc..- II: Underlying Concepts of The Organizational Hologram for the Efficiently Adaptable Organization.- Combined Congruency.- A Congruency Diagnosis of the Euphoria School District.- Managing Combined Congruency to Improve Productivity and Adaptability.- Achieving Organizational Level Congruency.- Principles for Problem Solving in the Organizational Hologram.- Motivating, Rewarding and Bonding in the Organizational Hologram.- Improving White Metals and Manufacturing, Inc..- III: Main Properties of the Organizational Hologram.- The Holonomic Processes of the Organizational Hologram.- Major Desired Organizational Characteristics for the Efficiently Adaptable Organization.- The Holonomic Cube.- Macro Principles of the Efficiently Adaptable Organization.- Summary and Conclusions.- References.- Author Index.

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Book SynopsisIntroduction: Risk in a Complex World.- I Methodological Comments.- 1 Risk, Society, Politicians, Scientists, and People.- II Topics in Risk and Organization.- 2 Determinants of Public Participation in Management of Technological Risk.- 3 The Strategic Defense Initiative and Nuclear Proliferation from a Risk Analysis Perspective.- 4 Risk Assessment and Organizational Behavior: The Case of Nuclear Technology and the Spread of Nuclear Weapons.- 5 Evaluating Security Against Terrorism.- 6 Terrorism and Airline Security: An Interview with Homer A. Boynton.- 7 Smoking and Health Promotion Obstacles and Opportunities.- 8 Cigarette Smoking: A Study of Change in Behavior.- 9 Nuclear Power and Public Perception.- 10 The Failure of Nuclear Power.- Appendix 1: A Selective Bibliography.- Appendix 2: Biographical Sketches.Table of ContentsIntroduction: Risk in a Complex World.- I Methodological Comments.- 1 Risk, Society, Politicians, Scientists, and People.- II Topics in Risk and Organization.- 2 Determinants of Public Participation in Management of Technological Risk.- 3 The Strategic Defense Initiative and Nuclear Proliferation from a Risk Analysis Perspective.- 4 Risk Assessment and Organizational Behavior: The Case of Nuclear Technology and the Spread of Nuclear Weapons.- 5 Evaluating Security Against Terrorism.- 6 Terrorism and Airline Security: An Interview with Homer A. Boynton.- 7 Smoking and Health Promotion Obstacles and Opportunities.- 8 Cigarette Smoking: A Study of Change in Behavior.- 9 Nuclear Power and Public Perception.- 10 The Failure of Nuclear Power.- Appendix 1: A Selective Bibliography.- Appendix 2: Biographical Sketches.

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Book Synopsis1 Advertising and Competition.- 2 Analytical Models and Strategy Concepts.- 3 Analysis of a Lanchester Duopoly.- 4 Analysis of a Vidale-Wolfe Duopoly.- 5 Analysis of a Diffusion Duopoly.- 6 Summary and Final Considerations.- References.- Author Index.Table of Contents1 Advertising and Competition.- 2 Analytical Models and Strategy Concepts.- 3 Analysis of a Lanchester Duopoly.- 4 Analysis of a Vidale-Wolfe Duopoly.- 5 Analysis of a Diffusion Duopoly.- 6 Summary and Final Considerations.- References.- Author Index.

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Book SynopsisFor a number of years, I have been teaching and doing research in the economics of uncertainty, information, and insurance.Trade Review'In conclusion, I recommend Contributions to Insurance. It does an excellent job of readers of the Journal of Risk and Insurance economics, remind the reader of the advances that are being made, and of equal if not more importance, sets the stage for a future research agenda in this area.' Journal of Risk and Insurance Table of ContentsPreface. Introduction. Part I: Survey Articles. Economic Theory of Risk Exchanges: A Review; C. Gollier. The Demand and Supply of Liability Insurance; P.M. Danzon, S.E. Harrington. Moral Hazard and Insurance Contracts; R.A. Winter. Adverse Selection in Insurance Markets: A Selective Survey; G. Dionne, N. Doherty. Financial Pricing of Property and Liability Insurance; J.D. Cummins. Econometric Models of Accident Distributions; M. Boyer, G. Dionne, C. Vanasse. Part II: Essays. A. Theoretical Models. Optimal Insurance: A Non Expected Utility Analysis; E. Karni. Background Risk, Prudence and the Demand for Insurance; L. Eeckhoudt, M. Kimball. Optimum Insurance with Deviant Beliefs; J.M. Marshall. Increases in Risk and the Demand for Insurance; Y. Alarie, G. Dionne, L. Eeckhoudt. Crop Insurance in Incomplete Markets; B. Ramaswami, T.L. Roe. How Does Ambiguity Affect Insurance Decisions? H. Kunreuther, R.M. Hogarth. Moral Hazard and Competitive Insurance Markets; R.J. Arnott. Probationary Periods and Time-Dependent Deductibles in Insurance Markets with Adverse Selection; C. Fluet. Insurance Classifications and Social Welfare; S.A. Rea. B. Empirical Models. Social Insurance in Market Contexts: Implications of the Structure of Workers' Compensation for Job Safety and Wages; M.J. Moore, W.K. Viscusi. Testing for Asymmetric Information in Canadian Automobile Insurance; B. Dahlby. Incentive Effects of no Fault Automobile Insurance: Evidence from Insurance Claim Data; J.D. Cummins, M.A. Weiss. Measuring the Effects of the 1978 Quebec Automobile Insurance Act with the DRAG Model; M. Gaudry. Liability versus No-Fault Automobile Insurance Regimes: An Analysis of the Experience in Quebec; R.A. Devlin. Index.

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Book SynopsisEconomic and financial research on insurance markets has undergone dramatic growth since its infancy in the early 1960s. While it was not possible to provide comprehensive coverage of insurance economics in this book, these readings provide an essential foundation to those who desire to conduct research and teach in the field.

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Book SynopsisI Review.- 1 Properties of Utility Theories and Related Empirical Phenomena.- II The Old Time Religion and Its Implementation.- 2 In Praise of the Old Time Religion.- 3 On the Foundations of Prescriptive Decision Analysis.- 4 Generic Analysis of Utility Models.- III Generalized Utility Is Not Normative.- 5 Small Worlds and Sure Things: Consequentialism by the Back Door.- 6 What Now for Generalized Utility Theory.- 7 The Independence Axiom Versus the Reduction Axiom: Must We Have Both?.- IV What Should Descriptive Decision Models Look Like? What Do They Describe?.- 8 Rational Versus Plausible Accounting Equivalences in Preference Judgments.- 9 Recent Tests of Generalizations of Expected Utility Theory.- 10 Toward the Demise of Economic Man and Woman; Bottom Lines from Santa Cruz.- V Discussion.- 11 Old and New Roles for Expected and Generalized Utility Theories.- Author Index.Table of ContentsI Review.- 1 Properties of Utility Theories and Related Empirical Phenomena.- II The Old Time Religion and Its Implementation.- 2 In Praise of the Old Time Religion.- 3 On the Foundations of Prescriptive Decision Analysis.- 4 Generic Analysis of Utility Models.- III Generalized Utility Is Not Normative.- 5 Small Worlds and Sure Things: Consequentialism by the Back Door.- 6 What Now for Generalized Utility Theory.- 7 The Independence Axiom Versus the Reduction Axiom: Must We Have Both?.- IV What Should Descriptive Decision Models Look Like? What Do They Describe?.- 8 Rational Versus Plausible Accounting Equivalences in Preference Judgments.- 9 Recent Tests of Generalizations of Expected Utility Theory.- 10 Toward the Demise of Economic Man and Woman; Bottom Lines from Santa Cruz.- V Discussion.- 11 Old and New Roles for Expected and Generalized Utility Theories.- Author Index.

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Book SynopsisI Review.- 1 Properties of Utility Theories and Related Empirical Phenomena.- II The Old Time Religion and Its Implementation.- 2 In Praise of the Old Time Religion.- 3 On the Foundations of Prescriptive Decision Analysis.- 4 Generic Analysis of Utility Models.- III Generalized Utility Is Not Normative.- 5 Small Worlds and Sure Things: Consequentialism by the Back Door.- 6 What Now for Generalized Utility Theory.- 7 The Independence Axiom Versus the Reduction Axiom: Must We Have Both?.- IV What Should Descriptive Decision Models Look Like? What Do They Describe?.- 8 Rational Versus Plausible Accounting Equivalences in Preference Judgments.- 9 Recent Tests of Generalizations of Expected Utility Theory.- 10 Toward the Demise of Economic Man and Woman; Bottom Lines from Santa Cruz.- V Discussion.- 11 Old and New Roles for Expected and Generalized Utility Theories.- Author Index.Table of ContentsI Review.- 1 Properties of Utility Theories and Related Empirical Phenomena.- II The Old Time Religion and Its Implementation.- 2 In Praise of the Old Time Religion.- 3 On the Foundations of Prescriptive Decision Analysis.- 4 Generic Analysis of Utility Models.- III Generalized Utility Is Not Normative.- 5 Small Worlds and Sure Things: Consequentialism by the Back Door.- 6 What Now for Generalized Utility Theory.- 7 The Independence Axiom Versus the Reduction Axiom: Must We Have Both?.- IV What Should Descriptive Decision Models Look Like? What Do They Describe?.- 8 Rational Versus Plausible Accounting Equivalences in Preference Judgments.- 9 Recent Tests of Generalizations of Expected Utility Theory.- 10 Toward the Demise of Economic Man and Woman; Bottom Lines from Santa Cruz.- V Discussion.- 11 Old and New Roles for Expected and Generalized Utility Theories.- Author Index.

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Book Synopsis1 Uncertainty.- 2 Background.- 3 EU Theory.- 4 The Challenge to EU Theory.- 5 Rank-Dependent Expected Utility - An Outline.- 6 Risk Aversion in RDEU Theory.- 7 Comparative Statics for RDEU Theory.- 8 Risk Seeking and Lottery Design.- 9 Some Normative Properties of RDEU.- 10 RDEU and Experimental Evidence.- 11 Axiomatic Approaches to RDEU.- 12 Generalized Smooth Utility and RDEU.- 13 Stochastic Dominance and Independence Rules.- 14 Extensions.- References.- Index of Names.- Topic Index.Table of Contents1 Uncertainty.- 2 Background.- 3 EU Theory.- 4 The Challenge to EU Theory.- 5 Rank-Dependent Expected Utility - An Outline.- 6 Risk Aversion in RDEU Theory.- 7 Comparative Statics for RDEU Theory.- 8 Risk Seeking and Lottery Design.- 9 Some Normative Properties of RDEU.- 10 RDEU and Experimental Evidence.- 11 Axiomatic Approaches to RDEU.- 12 Generalized Smooth Utility and RDEU.- 13 Stochastic Dominance and Independence Rules.- 14 Extensions.- References.- Index of Names.- Topic Index.

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Book SynopsisQuantitative Papers.- 1 Marketing Models: Past, Present and Future.- 2 Marketing Science's Pilgrimage to the Ivory Tower.- 3 Theory or Well-Based Results: Which Comes First?.- 4 Diagnosing Competition: Developments and Findings.- 5 Productivity Versus Relative Efficiency in Marketing: Past and Future?.- 6 Modeling the Diffusion of New Durable Goods: Word-of-Mouth Effect Versus Consumer Heterogeneity.- 7 Research on Modeling Industrial Markets.- Qualitative Papers.- 8 Scholarly Traditions and European Roots of American Consumer Research.- 9 Cross-National Consumer Research Traditions.- 10 The Markets-as-Networks Tradition in Sweden.- 11 Interorganizational Marketing Exchange: Metatheoretical Analysis of Current Research Approaches.- 12 The Emerging Tradition of Historical Research in Marketing: History of Marketing and Marketing of History.- 13 Metaphor at Work.- Contributing Authors.Table of ContentsForeword: Divergence: a Source of Creative Thinking; A. Bultez. Preface: The Conference and the Genesis of this Book; G. Laurent, G.L. Lilien, B. Pras. Quantitative Papers: Marketing Models: Past, Present and Future; G.L. Lilien. Comments; D.G. Morrison, A.S.C. Ehrenberg. Reply; G.L. Lilien. Marketing Science's Pilgrimage to the Ivory Tower; H. Simon. Comments; J.D.C. Little, L.M. Lodish, J.R. Hauser, G.L. Urban, L.J. Parsons, E. Gijsbrechts, P.S.H. Leeflang, D.R. Wittink. Theory of Well-Based Results: which Comes First? A.S.C. Ehrenberg. Comments; A.C. Bemmaor, J.R. Rossiter, D.C. Schmittlein. Reply; A.S.C. Ehrenberg. Diagnosing Competition: Developments and Findings; P.H.S. Leeflang, D.R. Wittink. Comments; P. Vanden Abeele, R. Wensley. Productivity versus Relative Efficiency in Marketing: Past and Future? L.J. Parsons. Comments; A.R. Thurik. Modeling the Diffusion of New Durable Goods: Word-of-Mouth Effect versus Consumer Heterogeneity; A.C. Bemmaor. Comments; F.M. Bass, V. Mahajan. Research on Modeling Industrial Markets; M.J. Brand, P.S.H. Leeflang. Comments; G.L. Lilien. Qualitative Papers: Scholarly Traditions and European Roots of American Consumer Research; H.H. Kassarjian. Comments; C. Derbaix, S.J. Levy. Cross-National Consumer Research Traditions; S.P. Douglas, M.A. Morrin, C.S. Craig. Comments; D. Midgley, J.C. Miller. The Markets as Networks Tradition in Sweden; J. Johanson, L.-G. Mattsson. Comments; D.T. Wilson. Interorganizational Marketing Exchange: Metatheoretical Analysis of Current Research Approaches; K.E.K. Möller. Comments; G. Easton, G.L.Frazier. The Emerging Tradition of Historical Research in Marketing: History of Marketing and Marketing of History; F. Cochoy. Comments; T. Nevett. Reply; F. Cochoy. Metaphor at Work; C. Van den Bulte. Comments; S.D. Hunt, A. Menon. Reply; C. Van den Bulte.

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Book SynopsisMaking Decisions about Liability and Insurance: Editors' Comments.- Intuitions about Penalties and Compensation in the Context of Tort Law.- Framing, Probability Distortions, and Insurance Decisions.- Transaction Analysis: A Framework and an Application to Insurance Decisions.- Insurer Ambiguity and Market Failure.- Ambiguity and Risk Taking in Organizations.- Insurance for Low-Probability Hazards: A Bimodal Response to Unlikely Events.- The Risky Business of Insurance Pricing.Table of ContentsMaking Decisions about Liability and Insurance: Editors' Comments; C. Camerer, H. Kunreuther. Intuitions about Penalties and Compensation in the Context of Tort Law; J. Baron, I. Ritov. Framing, Probability Distortions, and Insurance Decisions; E.J. Johnson, J. Hershey, J. Meszaros, H. Kunreuther. Transaction Analysis: a Framework and an Application to Insurance Decisions; B. Fishchoff. Insurer Ambiguity and Market Failure; H. Kunreuther, R. Hogarth, J. Meszaros. Ambiguity and Risk Taking in Organizations; Z. Shapira. Insurance for Low-Probability Hazards: a Bimodal Response to Unlikely Events; G.H. McClelland, W.D. Schulze, D.L. Coursey. The Risky Business of Insurance Pricing; V.K. Viscusi.

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