ALGORITHMIC STRATEGY FOR ASSURANCE REGION ANALYSIS IN DEA

スポンサーリンク

概要

• 論文の詳細を見る

• An algorithm strategy is proposed for use with the assurance region (AR) approach in data envelopment analysis (DEA). The strategy addressed in this study characterizes and classifies all decision making units (DMUs) into several subsets, using the revised simplex method of linear programming. Then, each DMU subset is solved by a different algorithm. Experimental studies consisting of randomly generated data sets have confirmed that the proposed algorithm outperforms the conventional DEA use of the revised simplex method. An important feature related to the DEA/AR algorithm is that it can deal effectively with large data sets.

• 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

• Sueyoshi Toshiyuki

  The Ohio State University College Of Business

• Sueyoshi Toshiyuki

  The Ohio State University College Of Business School Of Public Policy & Management

関連論文

• ALGORITHMIC STRATEGY FOR ASSURANCE REGION ANALYSIS IN DEA
• EMPIRICAL REGRESSION QUANTILE AND LEVERAGE TREATMENT METHOD
• DATA ENVELOPMENT ANALYSIS: FORMULATIONS AND ECONOMIC IMPLICATIONS
• EMPIRICAL REGRESSION QUANTILE

スポンサーリンク