INEFFICIENCY EVALUATION WITH AN ADDITIVE DEA MODEL UNDER IMPRECISE DATA, AN APPLICATION ON IAUK DEPARTMENTS
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- Matin Reza Kazemi
- Islamic Azad University
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- Jahanshahloo Gholam Reza
- Islamic Azad University
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- Vencheh Abdollah Hadi
- Islamic Azad University
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抄録
In imprecise data envelopment analysis (IDEA) (Cooper et al. [4]), the corresponding DEA models become non-linear and an important problem is to transform them into a linear programming one. In most of the current approaches to this problem, the number of decision variables increases dramatically, and usually the favorable results of these models are taken in several occasions. In this paper an additive DEA model is employed to evaluate the technical inefficiency of decision making units (DMUs) under imprecise data. The non-linear DEA model is transformed into an equivalent linear one, then the translation invariant property is used and a one-stage approach is introduced in this inefficiency evaluation. The approach rectifies the computational burden of previous methods in applications.
収録刊行物
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- 日本オペレーションズ・リサーチ学会論文誌
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日本オペレーションズ・リサーチ学会論文誌 50 (3), 163-177, 2007
公益社団法人 日本オペレーションズ・リサーチ学会
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詳細情報 詳細情報について
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- CRID
- 1390001204110051712
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- NII論文ID
- 110006388599
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- NII書誌ID
- AA00703935
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- ISSN
- 21888299
- 04534514
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- NDL書誌ID
- 8911694
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
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- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可