USING THE EXCLUSION MODEL FOR DEA COMPUTATION
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概要
- 論文の詳細を見る
In the original DEA/CCR (Data Envelopment Analysis/Charnes, Cooper and Rhodes) computation with n DMUs (Decision Making Units), we cannot make do with solving n LP (Linear Programmiing) problems even to judge only whether each DMU is DEA efficient or not in using ordinary LP solvers. This is because we must use two-phase optimization unless we have access to DEA software packages taking non-Archimedean infinitesimals into consideration. We must solve n Phase I LPs for all the n DMUs plus Phase II LPs to see whether DEA inefficient DMUs on the extended frontier are. This paper shows that, through solving nearly n LPs, we can achieve it if we use the DEA exclusion model instead of the standard DEA model, etc. We should note a merit of the DEA exclusion model for reducing DEA computation load as well.
- 社団法人日本オペレーションズ・リサーチ学会の論文
著者
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Hashimoto A
Department Of Electrical & Electronics Engineering Fukui University
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Hashimoto A
Graduate School Of Engineering Science Osaka University
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Hashimoto Akihiro
University Of Tsukuba
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Hashimoto Akihiro
Faculty Of Engineering Fukui University
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Hashimoto A
Univ. Tsukuba
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