Ranking DMUs by calculating the interval efficiency with a common set of weights in DEA

To evaluate the performance of decision making units (DMUs), data envelopment analysis (DEA) was introduced. Basically, the traditional DEA scheme calculates the best relative efficiency score (i.e., the "optimistic" efficiency) of each DMU with the most favorable weights. A decision maker...

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Main Authors: Ahmad, Tahir, Awang, Siti Rahmah, Maan, Normah, Rezaei, Seyedeh Vahideh, Khanmohammadi, Masumeh
Format: Article
Published: Hindawi Publishing Corporation 2014
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Online Access:http://eprints.utm.my/id/eprint/62392/
http://dx.doi.org/10.1155/2014/346763
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Institution: Universiti Teknologi Malaysia
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spelling my.utm.623922017-06-14T01:07:24Z http://eprints.utm.my/id/eprint/62392/ Ranking DMUs by calculating the interval efficiency with a common set of weights in DEA Ahmad, Tahir Awang, Siti Rahmah Maan, Normah Rezaei, Seyedeh Vahideh Khanmohammadi, Masumeh Q Science To evaluate the performance of decision making units (DMUs), data envelopment analysis (DEA) was introduced. Basically, the traditional DEA scheme calculates the best relative efficiency score (i.e., the "optimistic" efficiency) of each DMU with the most favorable weights. A decision maker may be unable to compare and fully rank the efficiencies of different DMUs that are calculated using these potentially distinct sets of weights on the same basis. Based on the literature, the assignable worst relative efficiency score (i.e., the "pessimistic" efficiency) for each DMU can also be determined. In this paper, the best and the worst relative efficiencies are considered simultaneously. To measure the overall performance of the DMUs, an integration of both the best and the worst relative efficiencies is considered in the form of an interval. The advantage of this efficiency interval is that it provides all of the possible efficiency values and an expanded overview to the decision maker. The proposed method determines the lower- and upper-bounds of the interval efficiency over a common set of weights. To demonstrate the implementation of the introduced method, a numerical example is provided. Hindawi Publishing Corporation 2014 Article PeerReviewed Ahmad, Tahir and Awang, Siti Rahmah and Maan, Normah and Rezaei, Seyedeh Vahideh and Khanmohammadi, Masumeh (2014) Ranking DMUs by calculating the interval efficiency with a common set of weights in DEA. Journal of Applied Mathematics . ISSN 1110-757X http://dx.doi.org/10.1155/2014/346763 DOI:10.1155/2014/346763
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic Q Science
spellingShingle Q Science
Ahmad, Tahir
Awang, Siti Rahmah
Maan, Normah
Rezaei, Seyedeh Vahideh
Khanmohammadi, Masumeh
Ranking DMUs by calculating the interval efficiency with a common set of weights in DEA
description To evaluate the performance of decision making units (DMUs), data envelopment analysis (DEA) was introduced. Basically, the traditional DEA scheme calculates the best relative efficiency score (i.e., the "optimistic" efficiency) of each DMU with the most favorable weights. A decision maker may be unable to compare and fully rank the efficiencies of different DMUs that are calculated using these potentially distinct sets of weights on the same basis. Based on the literature, the assignable worst relative efficiency score (i.e., the "pessimistic" efficiency) for each DMU can also be determined. In this paper, the best and the worst relative efficiencies are considered simultaneously. To measure the overall performance of the DMUs, an integration of both the best and the worst relative efficiencies is considered in the form of an interval. The advantage of this efficiency interval is that it provides all of the possible efficiency values and an expanded overview to the decision maker. The proposed method determines the lower- and upper-bounds of the interval efficiency over a common set of weights. To demonstrate the implementation of the introduced method, a numerical example is provided.
format Article
author Ahmad, Tahir
Awang, Siti Rahmah
Maan, Normah
Rezaei, Seyedeh Vahideh
Khanmohammadi, Masumeh
author_facet Ahmad, Tahir
Awang, Siti Rahmah
Maan, Normah
Rezaei, Seyedeh Vahideh
Khanmohammadi, Masumeh
author_sort Ahmad, Tahir
title Ranking DMUs by calculating the interval efficiency with a common set of weights in DEA
title_short Ranking DMUs by calculating the interval efficiency with a common set of weights in DEA
title_full Ranking DMUs by calculating the interval efficiency with a common set of weights in DEA
title_fullStr Ranking DMUs by calculating the interval efficiency with a common set of weights in DEA
title_full_unstemmed Ranking DMUs by calculating the interval efficiency with a common set of weights in DEA
title_sort ranking dmus by calculating the interval efficiency with a common set of weights in dea
publisher Hindawi Publishing Corporation
publishDate 2014
url http://eprints.utm.my/id/eprint/62392/
http://dx.doi.org/10.1155/2014/346763
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