An index for ordering fuzzy numbers
Fuzzy Sets and Systems
Why triangular membership functions?
Fuzzy Sets and Systems
Fuzzy multiple attribute decision making: a review and new preference elicitation techniques
Fuzzy Sets and Systems - Special issue on fuzzy multiple criteria decision making
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
An efficient approach to solving fuzzy MADM problems
Fuzzy Sets and Systems
A new approach for ranking fuzzy numbers by distance method
Fuzzy Sets and Systems
Inter-company comparison using modified TOPSIS with objective weights
Computers and Operations Research
Defuzzification within a multicriteria decision model
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Using a fuzzy multi-criteria decision making approach to evaluate alternative licensing mechanisms
Information and Management
Computers and Operations Research
Fuzzy hierarchical TOPSIS for supplier selection
Applied Soft Computing
A fuzzy AHP approach to personnel selection problem
Applied Soft Computing
Fuzzy MCDM approach for selecting the best environment-watershed plan
Applied Soft Computing
An evaluation of airline service quality using the fuzzy weighted SERVQUAL method
Applied Soft Computing
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Selection of appropriate defuzzification methods using application specific properties
IEEE Transactions on Fuzzy Systems
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Fuzzy multicriteria decision making (MCDM) has been widely used in ranking a finite number of decision alternatives characterized by fuzzy assessments with respect to multiple criteria. In group decision settings, different fuzzy group MCDM methods often produce inconsistent ranking outcomes for the same problem. To address the ranking inconsistency problem in fuzzy group MCDM, this paper develops a new method selection approach for selecting a fuzzy group MCDM method that produces the most preferred group ranking outcome for a given problem. Based on two group averaging methods, three aggregation procedures and three defuzzification methods, 18 fuzzy group MCDM methods are developed as an illustration to solve the general fuzzy MCDM problem that requires cardinal ranking of the decision alternatives. The approach selects the group ranking outcome of a fuzzy MCDM method which has the highest consistency degree with its corresponding ranking outcomes of individual decision makers. An empirical study on the green bus fuel technology selection problem is used to illustrate how the approach works. The approach is applicable to large-scale group multicriteria decision problems where inconsistent ranking outcomes often exist between different fuzzy MCDM methods.