Fuzzy Hybrid Computing in Construction Engineering and Management: Theory and Applications

Computer Science by Aminah Robinson Fayek (Author, Editor)

This 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

Review
Construction 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 Ringgold Inc. Portland, OR (protoview.com)

About the Author
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