Fuzzy weights in data envelopment analysis.

In many real problems of evaluating efficiency score for decision making units (DMUs) using data envelopment analysis (DEA) factor weights related to the data may have fuzzy essence and it is required to create methods for solving these problems. In this paper we have provided a method to solve a CC...

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Main Authors: Mansourirad, Ehsanollah, Abu Bakar, Mohd Rizam, Lee, Lai Soon, Jaafar, Azmi
Format: Article
Language:English
English
Published: Hikari Ltd 2010
Online Access:http://psasir.upm.edu.my/id/eprint/14835/1/Fuzzy%20weights%20in%20data%20envelopment%20analysis.pdf
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author Mansourirad, Ehsanollah
Abu Bakar, Mohd Rizam
Lee, Lai Soon
Jaafar, Azmi
author_facet Mansourirad, Ehsanollah
Abu Bakar, Mohd Rizam
Lee, Lai Soon
Jaafar, Azmi
author_sort Mansourirad, Ehsanollah
collection UPM
description In many real problems of evaluating efficiency score for decision making units (DMUs) using data envelopment analysis (DEA) factor weights related to the data may have fuzzy essence and it is required to create methods for solving these problems. In this paper we have provided a method to solve a CCR model with fuzzy weights in the objective function. This method is based on parametric linear programming which is transformed using t-cut concept for fuzzy numbers. Besides our method is based on two steps to find the triangular fuzzy number as weights of the objective function.
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spelling upm.eprints-148352015-10-21T03:08:20Z http://psasir.upm.edu.my/id/eprint/14835/ Fuzzy weights in data envelopment analysis. Mansourirad, Ehsanollah Abu Bakar, Mohd Rizam Lee, Lai Soon Jaafar, Azmi In many real problems of evaluating efficiency score for decision making units (DMUs) using data envelopment analysis (DEA) factor weights related to the data may have fuzzy essence and it is required to create methods for solving these problems. In this paper we have provided a method to solve a CCR model with fuzzy weights in the objective function. This method is based on parametric linear programming which is transformed using t-cut concept for fuzzy numbers. Besides our method is based on two steps to find the triangular fuzzy number as weights of the objective function. Hikari Ltd 2010 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/14835/1/Fuzzy%20weights%20in%20data%20envelopment%20analysis.pdf Mansourirad, Ehsanollah and Abu Bakar, Mohd Rizam and Lee, Lai Soon and Jaafar, Azmi (2010) Fuzzy weights in data envelopment analysis. International Mathematical Forum, 5 (37-40). pp. 1871-1886. ISSN 1312-7594; ESSN: 1314-7536 http://www.m-hikari.com/imf.html English
spellingShingle Mansourirad, Ehsanollah
Abu Bakar, Mohd Rizam
Lee, Lai Soon
Jaafar, Azmi
Fuzzy weights in data envelopment analysis.
title Fuzzy weights in data envelopment analysis.
title_full Fuzzy weights in data envelopment analysis.
title_fullStr Fuzzy weights in data envelopment analysis.
title_full_unstemmed Fuzzy weights in data envelopment analysis.
title_short Fuzzy weights in data envelopment analysis.
title_sort fuzzy weights in data envelopment analysis
url http://psasir.upm.edu.my/id/eprint/14835/1/Fuzzy%20weights%20in%20data%20envelopment%20analysis.pdf
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AT jaafarazmi fuzzyweightsindataenvelopmentanalysis