Applications of fuzzy hybrid techniques in construction engineering and management research

被引:24
|
作者
Nguyen, Phuong H. D. [1 ]
Fayek, Aminah Robinson [2 ,3 ]
机构
[1] Univ Alberta, Dept Civil & Environm Engn, Edmonton, AB, Canada
[2] Univ Alberta, Tier 1 Canada Res Chair Fuzzy Hybrid Decis Suppor, NSERC Ind Res Chair Strateg Construct Modeling &, Edmonton, AB, Canada
[3] Univ Alberta, Hole Sch Construct Engn, Dept Civil & Environm Engn, Edmonton, AB, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Fuzzy hybrid techniques; Systematic literature review; Content analysis; Construction engineering and management; MULTICRITERIA DECISION-MAKING; FAULT-TREE ANALYSIS; NEURO-FUZZY; RISK-ASSESSMENT; COMPRESSIVE STRENGTH; SITE LAYOUT; DIFFERENTIAL EVOLUTION; LABOR PRODUCTIVITY; ASSESSMENT MODEL; SERIAL METHOD;
D O I
10.1016/j.autcon.2021.104064
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Construction engineering and management (CEM) becomes more complex with increasing project size and complexity. Various fuzzy hybrid techniques have been implemented to handle subjective uncertainty and vagueness in CEM problems. The objective of this paper is to investigate applications of fuzzy hybrid techniques across different CEM applications (e.g., prediction, decision making, optimization) through a systematic review of 255 journal articles published from 2004 to 2021. A checklist of selection criteria for choosing an appropriate fuzzy hybrid technique to solve a specific CEM problem was also established. This study contributes to the body of knowledge by providing a state-of-the-art review of existing fuzzy hybrid techniques utilized in CEM to (1) demonstrate their capabilities to overcome limitations of some standard techniques in solving complex construction problems, (2) determine selection criteria for their applications, and (3) examine the applicability of each fuzzy hybrid technique's category to given practical construction problems.
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页数:22
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