Fuzzy logic and fuzzy hybrid techniques for construction engineering and management

Fayek, A R (2020) Fuzzy logic and fuzzy hybrid techniques for construction engineering and management. Journal of Construction Engineering and Management, 146(7): 04020064, ISSN 0733-9364

Abstract

Construction engineering and management are vital for successful project execution, and both researchers and practitioners continually seek ways to improve construction processes. Fuzzy logic plays an important role in many construction engineering and management applications, which are reviewed in this paper. This paper discusses the limitations of fuzzy logic and how this theory has been combined with other modeling techniques to develop fuzzy hybrid techniques, and describes the aspects of construction problems and decision making that are most effectively modeled using these techniques. Fuzzy hybrid techniques that are most common in construction are presented and examples from construction literature and the author's research program are provided. The author shares her vision of future research in this area, which is based on her expertise and experiences collaborating with construction industry partners, who have helped shape her research program and its impact on industry. Finally, the author presents her thoughts on the challenges construction researchers face in translating research to practice and measuring its impact, and she discusses some potential solutions from her research program. This paper is based on the 2019 Peurifoy Construction Advancement Address, which the author presented in Montreal, Canada, in June 2019.

Item Type: Article
Uncontrolled Keywords: artificial intelligence; fuzzy hybrid techniques; fuzzy logic; machine learning; multicriteria decision making; optimization; simulation
Index terms: machine learning, program, decision-making, construction process, practitioner, face, construction industry, modelling, artificial intelligence, construction engineering, Canada, fuzzy logic
Subjects: artificial intelligence, data science, analytical methods, psychology, practitioner, industry analysis, decision analysis, building construction, Geography, software systems, engineering methods
Topics: Digital Applications, Site Management, Organizational Design, Geographical Context, Research Practice, Engineering Principles, Roles and Professions, Risk Management
Descriptive scope: 4 PCTA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here