Description

Book Synopsis

1 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 Review

From 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 Contents

List 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.

Fuzzy Set Theoryand Its Applications

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    A Hardback by Hans-Jürgen Zimmermann

    £999.99

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      Book details

      Publisher Springer Nature
      Published 30 November 2001
      ISBN-13 9780792374350
      978-0792374350
      ISBN-10 0792374355

      Description

      Book Synopsis

      1 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 Review

      From 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 Contents

      List 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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