A New Method for Solving Fuzzy DEA Models by Trapeziodal Approximation
Abstract
Data envelopment analysis is a technique for measuring the relative e±ciency of a set of decision making units with
crisp data, but in this paper we explain a new method for evaluating of decision making units with fuzzy data.
At ¯rst, we introduce fuzzy data envelopment analysis models with
parameters as trapezoidal membership function. Then we extend
this method for solving models with general parameters.
crisp data, but in this paper we explain a new method for evaluating of decision making units with fuzzy data.
At ¯rst, we introduce fuzzy data envelopment analysis models with
parameters as trapezoidal membership function. Then we extend
this method for solving models with general parameters.
Keywords
Data envelopment analysis, fuzzy DEA,
CCR, BCC, trapezoidal aproximation, ranking.
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