Current research trends and application areas of fuzzy and hybrid methods to the risk assessment of construction projects

Citation data:

Advanced Engineering Informatics, ISSN: 1474-0346, Vol: 33, Page: 112-131

Publication Year:
2017
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DOI:
10.1016/j.aei.2017.06.001
Author(s):
Muhammad Saiful Islam; Madhav Prasad Nepal; Martin Skitmore; Meghdad Attarzadeh
Publisher(s):
Elsevier BV
Tags:
Computer Science
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article description
Fuzzy and hybrid methods have been increasingly used in construction risk management research and this study aims to compile and analyse the basic concepts and methods applied in this field to date. A content analysis is made of a comprehensive literature review of publications during 2005–2017. It is found that the nature of complex projects is such that most risks are interdependent of each other. Therefore, a fuzzy structured method such as the fuzzy analytical network process (FANP) has frequently been used for different complex projects. However, the application of FANP is limited because of the tedious and lengthy calculations required for the pairwise comparisons needed and an inability to incorporate new information into the risk structure. To overcome this constraint, a fuzzy Bayesian belief network (FBBN) has been increasingly used for risk assessment. Further project-specific studies based on FBBN are recommended to justify its broader application. Beyond fuzzy methods, the Credal network – an extended form of Bayesian network- is found to have potential for risk assessment under uncertainty.