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Fuzzy interpretation of efficiency in data envelopment analysis and its application in a non-discretionary model


Zerafat Angiz L, Majid and Mustafa, Adli (2013) Fuzzy interpretation of efficiency in data envelopment analysis and its application in a non-discretionary model. Knowledge-Based Systems, 49. pp. 145-151. ISSN 0950-7051

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Abstract

Data envelopment analysis (DEA) is a nonparametric model which evaluates the relative efficiencies of decision-making units (DMUs).These DMUs produce multiple outputs by using multiple inputs and the relative efficiency is evaluated using a ratio of total weighted output to total weighted input.In this paper an alternative interpretation of efficiency is first given. The interpretation is based on the fuzzy concept even though the inputs and outputs data are crisp numbers.With the interpretation, a new model for ranking DMUs in DEA is proposed and a new perspective of viewing other DEA models is now made possible.The model is then extended to incorporate situations whereby some inputs or outputs, in a fuzzy sense, are almost discretionary variables.

Item Type: Article
Uncontrolled Keywords: Data envelopment analysis; Fuzzy numbers; Ranking
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: College of Arts and Sciences
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 21 Apr 2014 05:45
Last Modified: 21 Apr 2014 05:45
URI: http://repo.uum.edu.my/id/eprint/10677

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