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• W2217808219 abstract "In this current literature, there are several models of Fully Fuzzy Data Envelopment Analysis (FFDEA) where inputs-outputs data and weights were fuzzy numbers. The main purpose of this study is to evaluate the performance of a set of Decision Making Units (DMUs) and fully ranking DMUs in fully fuzzified environment. In this paper, an FFDEA problem is discussed, and a method for solving this FFDEA problem is also proposed. This method based on the multi-objective linear programming and the simplex method is proposed for computing an optimal fuzzy solution to a FFDEA problem in which fuzzy ranking functions are not used. We acquire fuzzy efficiency scores with solving FFDEA. Afterwards, we have used a ranking function to rank these fuzzy scores. A numerical example is used to demonstrate and compare the results with those obtained using alternative approaches." @default.
• W2217808219 created "2016-06-24" @default.
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• W2217808219 date "2015-01-20" @default.
• W2217808219 modified "2023-09-27" @default.
• W2217808219 title "Measuring Efficiency and Ranking Fully Fuzzy DEA" @default.
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• W2217808219 doi "https://doi.org/10.17485/ijst/2015/v8i30/84752" @default.
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