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Information Journal Paper

Title

RANKING EFFICIENT DMUS USING MINIMIZING DISTANCE IN DEA

Pages

  0-0

Keywords

DATA ENVELOPMENT ANALYSIS (DEA) 

Abstract

 In many applications, RANKING of decision making units (DMUs) is a problematic technical task procedure to decision makers in data envelopment analysis (DEA), especially when there are extremely efficient DMUs. In such cases, many DEA models may usually get the same EFFICIENCY score for different DMUs. Hence, there is a growing interest in RANKING techniques yet. The main purpose of this paper is to overcome the lack of infeasibility and unboundedness in some DEA RANKING methods. The proposed method is for RANKING EXTREME EFFICIENT DMUs in DEA based on exploiting the leave-one out and minimizing distance between DMU under evaluation and virtual DMU.

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    • Cite

    APA: Copy

    ZIARI, SHOKROLLAH, & RAISSI, SADIGH. (2016). RANKING EFFICIENT DMUS USING MINIMIZING DISTANCE IN DEA. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, 12(2), 0-0. SID. https://sid.ir/paper/310051/en

    Vancouver: Copy

    ZIARI SHOKROLLAH, RAISSI SADIGH. RANKING EFFICIENT DMUS USING MINIMIZING DISTANCE IN DEA. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL[Internet]. 2016;12(2):0-0. Available from: https://sid.ir/paper/310051/en

    IEEE: Copy

    SHOKROLLAH ZIARI, and SADIGH RAISSI, “RANKING EFFICIENT DMUS USING MINIMIZING DISTANCE IN DEA,” JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, vol. 12, no. 2, pp. 0–0, 2016, [Online]. Available: https://sid.ir/paper/310051/en

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