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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Format: | Article |
Language: | English English |
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Hikari Ltd
2010
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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. |
first_indexed | 2024-03-06T07:32:33Z |
format | Article |
id | upm.eprints-14835 |
institution | Universiti Putra Malaysia |
language | English English |
last_indexed | 2024-03-06T07:32:33Z |
publishDate | 2010 |
publisher | Hikari Ltd |
record_format | dspace |
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 |
work_keys_str_mv | AT mansouriradehsanollah fuzzyweightsindataenvelopmentanalysis AT abubakarmohdrizam fuzzyweightsindataenvelopmentanalysis AT leelaisoon fuzzyweightsindataenvelopmentanalysis AT jaafarazmi fuzzyweightsindataenvelopmentanalysis |