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Information Journal Paper

Title

Finding Common Weights in Two-Stage Network DEA

Pages

  1435-1450

Abstract

 In data envelopment analysis (DEA), multiplier and envelopment CCR models evaluate the decision-making units (DMUs) under optimal conditions. Therefore, the best prices are allocated to the inputs and outputs. Thus, if a given DMU was not efficient under optimal conditions, it would not be considered efficient by any other models. In the current study, using common weights in DEA, a number of decision-making units are evaluated under the same conditions, and a number of two-stage network DEA models are proposed within the framework of multi-objective linear programming (MOLP) for finding common weights. Furthermore, using the infinity norm, common weight sets are determined in two-stage network models with MOLP structures.

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    APA: Copy

    khazraei, m., & MOZAFFARI, M.R.. (2017). Finding Common Weights in Two-Stage Network DEA. INTERNATIONAL JOURNAL OF DATA ENVELOPMENT ANALYSIS, 5(4 (20)), 1435-1450. SID. https://sid.ir/paper/726834/en

    Vancouver: Copy

    khazraei m., MOZAFFARI M.R.. Finding Common Weights in Two-Stage Network DEA. INTERNATIONAL JOURNAL OF DATA ENVELOPMENT ANALYSIS[Internet]. 2017;5(4 (20)):1435-1450. Available from: https://sid.ir/paper/726834/en

    IEEE: Copy

    m. khazraei, and M.R. MOZAFFARI, “Finding Common Weights in Two-Stage Network DEA,” INTERNATIONAL JOURNAL OF DATA ENVELOPMENT ANALYSIS, vol. 5, no. 4 (20), pp. 1435–1450, 2017, [Online]. Available: https://sid.ir/paper/726834/en

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