Euclidean Ranking DMUs with Fuzzy Data in DEA

Rahim Saneifard · Tofigh Allahviranloo · Farhad Hosseinzadeh Lotfı

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Efficiency Analysis Using DEA Multi-Criteria Decision Making Optimization and Mathematical Programming

Abstract

If the inputs and outputs are fuzzy numbers, the DMUs cannot be easily evaluated and ranked using the obtained efficiency scores. In this paper, a new idea based on interactive method for ranking of DMUs with fuzzy data using l2 norm is introduced. The method is illustrated by solving a numerical example.

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1978Measuring the efficiency of decision making units 1957The Measurement of Productive Efficiency 2007Decision Making in a Fuzzy Environment 2003A mathematical programming approach to fuzzy efficiency ranking 2003Measure of efficiency in DEA with fuzzy input–output levels: a methodology for assessing, ranking and imposing of weights restrictions

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