Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
A two phase multi-attribute decision-making approach for new product introduction
Information Sciences: an International Journal
Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment
Expert Systems with Applications: An International Journal
A new fuzzy TOPSIS for fuzzy MADM problems under group decisions
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
TQM consultant selection in SMEs with TOPSIS under fuzzy environment
Expert Systems with Applications: An International Journal
A fuzzy MCDM approach for evaluating banking performance based on Balanced Scorecard
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A fuzzy integrated methodology for evaluating conceptual bridge design
Expert Systems with Applications: An International Journal
Risk assessment for highway projects using jackknife technique
Expert Systems with Applications: An International Journal
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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This paper investigates the importance of risk ranking in mega projects by fuzzy compromise programming methods. To handle the limited resources problem to manage all risks, organizations can assess and prioritize important risks of mega projects. Three well-known decision-making methods, namely TOPSIS, VIKOR, and LINMAP, are employed in a fuzzy environment. One important issue considered in selecting the most appropriate fuzzy decision-making methods is the problem domain and method characteristics. Failing to address these characteristics may result in inappropriate outcomes or decisions. These methods are applied and compared for solving a risk ranking problem in a domain of mega projects. For the comprehensive study, six new aspects are introduced, including accuracy of methods, computational simplicity, large-scale problems, sensitivity to the parameters, discriminative measure, and inconsistency. Furthermore, a new fuzzy VIKOR method is extended in three different ways resulting in three different approaches to help project managers in handling mega project risks. Finally, the proposed fuzzy compromise approach is demonstrated with a real case study in the power industry.