Decision quality using ranked attribute weights
Management Science
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
A fuzzy method for measuring efficiency under fuzzy environment
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
A Fuzzy Ranking Approach to Data Envelopment Analysis
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
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In multiple criteria decision making (MCDA) problems, a decision maker often needs to select or rank alternatives that are associated with non-commensurate and conflicting criteria. This paper formulates a multiple criteria decision making problem as a fuzzy multiple objective data envelopment analysis model where inputs correspond to cost criteria and outputs correspond to benefit criteria. The fuzzy multiple objective data envelopment analysis model is different from the traditional DEA model in that a common set of weights is determined so that the efficiencies of all the DMUs are maximized simultaneously by maximizing the fuzzy degree of all efficiencies.