Fuzzy Hybrid Computing in Construction Engineering and Management: Theory and Applicationsby Aminah Robinson Fayek Emerald Publishing Limited
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- Hbk 536 pages
- AU$196.00 NZ$201.74
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This book provides an introduction to fuzzy logic and surveys the latest research and state-of-the-art applications in fuzzy hybrid techniques. Authors cover several methodologies in the theory and implementation of fuzzy hybrid computing, including fuzzy arithmetic, fuzzy hybrid optimization, fuzzy hybrid machine learning, fuzzy multi-criteria decision-making, fuzzy simulation, fuzzy cognitive maps, and fuzzy data modeling. The book presents several practical applications of these techniques to solve real-world problems in a wide range of construction engineering and management problems.
The construction industry is a vital part of many national economies, and its performance is largely dependent on the effective planning, execution, and control of construction projects. The completion of these construction processes is, in turn, often dependent on numerous interacting factors and human activities, both of which introduce vagueness and subjective uncertainty into these already complex processes. Expert knowledge, expressed in linguistic terms, is often essential for effective decision-making.
Fuzzy logic, which has applications in many engineering disciplines, has the potential to address some of the challenges inherent in construction engineering and management, in part because of its strengths in dealing with subjective uncertainty, modeling human reasoning, and computing with linguistic terms. However, fuzzy logic alone has a number of limitations that can only be overcome by integrating it with other techniques that have complementary strengths, thus leading to advanced and powerful fuzzy hybrid computing techniques.
This book is of particular interest to students, researchers, and practitioners interested in the latest developments in fuzzy hybrid computing in construction engineering and management.
Part 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
Aminah Robinson Fayek, Phd, Professional Engineer, is Professor in the Faculty of Engineering at the University of Alberta, Canada. She holds a Tier 1 Canada Research Chair in Fuzzy Hybrid Decision Support Systems for Construction, and she is in her third term as Natural Sciences and Engineering Research Council of Canada (NSERC) Industrial Research Chair in Strategic Construction Modeling and Delivery. Applications of her research have led to improved efficiency across industry and helped shape construction practice in Canada. She is an editor for the ASCE Journal of Construction Engineering and Management and the CSCE Canadian Journal of Civil Engineering.