Fuzzy hybrid computing in construction engineering and management : theory and applications

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...

Full description

Saved in:
Bibliographic Details
Other Authors: Robinson Fayek, Aminah, (Editor)
Format: eBook
Language: English
Published: Bingley, U.K. : Emerald Publishing Limited, 2018.
Subjects:
ISBN: 9781787438682 (e-book)
9781787439962 (ePUB)
Physical Description: 1 online resource (494 pages) ; cm

Cover

Table of contents

LEADER 03222nam a2200385Ii 4500
001 em-9781787438682
003 UtOrBLW
005 20181017103845.0
006 m o d
007 cr un|||||||||
008 181017s2018 enk 001 0 eng d
020 |a 9781787438682 (e-book) 
020 . . |a 9781787439962 (ePUB) 
040 |a UtOrBLW  |b eng  |e rda  |c UtOrBLW 
080 |a 620 
245 0 0 |a Fuzzy hybrid computing in construction engineering and management :  |b theory and applications /  |c edited by Aminah Robinson Fayek. 
264 1 |a Bingley, U.K. :  |b Emerald Publishing Limited,  |c 2018. 
264 4 |c ©2018 
300 |a 1 online resource (494 pages) ;  |c cm 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a Includes index. 
520 |a 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. 
588 0 |a Print version record 
650 0 |a Engineering  |x Mathematical models. 
650 0 |a Construction industry  |x Mathematical models. 
650 0 |a Fuzzy logic. 
650 7 |a Technology & Engineering, Construction  |x General.  |2 bisacsh 
650 7 |a Construction industry.  |2 bicssc 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Robinson Fayek, Aminah,  |e editor. 
776 |z 9781787438699 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://doi.org/10.1108/9781787438682  |y Full text