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Mathematical and Computational Applications is published by MDPI from Volume 21 Issue 1 (2016). Articles in this Issue were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence. Articles are hosted by MDPI on mdpi.com as a courtesy and upon agreement with the previous journal publisher.
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Math. Comput. Appl. 2002, 7(1), 5-14; https://doi.org/10.3390/mca7010005

Possibilistic Data Envelopment Analysis

Department of Statistics, Gazi University, Ankara, Turkey
Published: 1 April 2002
PDF [4164 KB, uploaded 7 April 2016]

Abstract

Data of problems in real world, fuzziness/impreciseness/absence appears due to various reasons very often. In such cases, difficulty in model building can be overcome by using fuzzy set theory and concepts. In this study, only situation of data lacking will be considered, Data envelopment analysis cannotbe used in the absence of one or more data in: model. If those absent datum or data can be supplied with possibilistic membership function, the problem is solved. In this study, a suggestion will be given about how to apply data envelopment analysis with the assistance of possibilistic membership function in real world problem with lacking data. Model problem has been chosen in the banking sector, which is a very popular area.
Keywords: Data envelopment analysis (DEA); fuzzy mathematical programming; fuzzy decision making; possibilistic computation; α-cut, efficiency and banking. Data envelopment analysis (DEA); fuzzy mathematical programming; fuzzy decision making; possibilistic computation; α-cut, efficiency and banking.
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).
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Alp, I. Possibilistic Data Envelopment Analysis. Math. Comput. Appl. 2002, 7, 5-14.

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