Description
Book SynopsisThis book provides an introduction to fuzzy logic and surveys emerging research trends and the application of state-of-the-art fuzzy hybrid computing techniques in the field of construction engineering and management. Authors cover the theory and implementation of fuzzy hybrid computing methodologies for arithmetic, optimization, machine learning, multi-criteria decision-making, simulation, cognitive maps and data modelling. The practical application of these techniques to solve real-world problems across a wide range of construction engineering and management issues is also demonstrated and discussed.
The completion of effectively planned, executed and controlled construction projects is dependent on numerous interacting factors and human activities, both of which introduce vagueness and subjective uncertainty into already complex processes. While expert knowledge is an essential component of effective decision-making, analysis and consideration of expert knowledge expressed in linguistic terms remains a challenging aspect of construction engineering and management.
Fuzzy logic, which has applications in many disciplines, has the potential to address certain challenges inherent in construction engineering and management, in part because of its strengths in modelling human reasoning, dealing with subjective uncertainty and computing with linguistic terms. However, fuzzy logic alone has a number of limitations that can only be overcome by its integration with other, complementary methodologies, together leading to advanced and powerful fuzzy hybrid computing techniques.
This book is of particular interest to students, researchers and practitioners who want to learn about the latest developments in fuzzy hybrid computing in construction engineering and management.
Trade ReviewConstruction engineers and managers introduce the theory and application of fuzzy logic and fuzzy hybrid techniques in construction engineering and management. Their topics include fuzzy arithmetic operations, fuzzy simulation techniques, fuzzy consensus and fuzzy aggregation processes for multi-criteria group decision-making problems, the fuzzy analytical hierarchy process in the investment appraisal of drilling methods, modeling risk allocation decisions in public-private partnership contracts using the fuzzy set approach, using an adaptive neuro-fuzzy inference system for tender price index forecasting: a univariate approach, and modeling construction management problems with fuzzy cognitive maps. -- Annotation ©2018 * (protoview.com) *
Table of ContentsPart One: Introduction to Fuzzy Logic and Overview of Fuzzy Hybrid Techniques in Construction Engineering and Management 1. Introduction to Fuzzy Logic in Construction Engineering and Management; Aminah Robinson Fayek and Rodolfo Lourenzutti 2. Overview of Fuzzy Hybrid Techniques in Construction Engineering and Management; Nima Gerami Seresht, Rodolfo Lourenzutti, Ahmad Salah, and Aminah Robinson Fayek
Part Two: Theoretical Approaches of Fuzzy Hybrid Computing in Construction Engineering and Management 3. Fuzzy Arithmetic Operations: Theory and Applications in Construction Engineering and Management; Nima Gerami Seresht and Aminah Robinson Fayek 4. Fuzzy Simulation Techniques in Construction Engineering and Management; Mohammad Raoufi, Nima Gerami Seresht, Nasir Bedewi Siraj, and Aminah Robinson Fayek 5. Fuzzy Set Theory and Extensions for Multi-Criteria Decision-Making in Construction Management; Long Chen and Wei Pan 6. Fuzzy Consensus and Fuzzy Aggregation Processes for Multi-Criteria Group Decision-Making Problems in Construction Engineering and Management; Nasir Bedewi Siraj, Aminah Robinson Fayek, and Mohamed M. G. Elbarkouky 7. Fuzzy AHP with Applications in Evaluating Construction Project Complexity; Long D. Nguyen, Long Le-Hoai, Dai Q. Tran, Chau N. Dang, and Chau V. Nguyen
Part Three: Applications of Fuzzy Hybrid Computing in Construction Engineering and Management 8. The Fuzzy Analytic Hierarchy Process in the Investment Appraisal of Drilling Methods; Olubukola Tokede, Adam Ayinla and Sam Wamuziri 9. Modeling Risk Allocation Decisions in Public-Private Partnership Contracts Using the Fuzzy Set Approach; Ernest Effah Ameyaw and Albert P. C. Chan 10. Flexible Management of Essential Construction Tasks Using Fuzzy OLAP Cubes; Nicolás Marín Ruiz, María Martínez-Rojas, Carlos Molina Fernández, José Manuel Soto-Hidalgo, Juan Carlos Rubio-Romero, and María Amparo Vila Miranda 11. Using an Adaptive Neuro-Fuzzy Inference System for Tender Price Index Forecasting: A Univariate Approach; Olalekan Shamsideen Oshodi and Ka Chi Lam 12. Modeling Construction Management Problems with Fuzzy Cognitive Maps; Denise M. Case, Ty Blackburn, and Chrysostomos Stylios 13. Crane Guidance Gesture Recognition Using Fuzzy Logic and Kalman Filtering; Xin Wang and Chris Gordon
