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Information Journal Paper

Title

USING NON-ARCHIMEDEAN DEA MODELS FOR CLASSIFICATION OF DMUS: A NEW ALGORITHM

Pages

  247-257

Abstract

 A new algorithm for CLASSIFICATION of DMUs to efficient and inefficient units in DATA ENVELOPMENT ANALYSIS is presented. This algorithm uses the NON-ARCHIMEDEAN Charnes-Cooper-Rhodes (CCR) model. Also, it applies an assurance value for the NON-ARCHIMEDEAN e using only simple computations on inputs and outputs of DMUs (see [18]). The convergence and EFFICIENCY of the new algorithm show the advantage of this algorithm compared to the Thrall’s algorithm (see [23]).

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    APA: Copy

    MEHRABIAN, S.. (2013). USING NON-ARCHIMEDEAN DEA MODELS FOR CLASSIFICATION OF DMUS: A NEW ALGORITHM. INTERNATIONAL JOURNAL OF DATA ENVELOPMENT ANALYSIS, 1(4 (4)), 247-257. SID. https://sid.ir/paper/242755/en

    Vancouver: Copy

    MEHRABIAN S.. USING NON-ARCHIMEDEAN DEA MODELS FOR CLASSIFICATION OF DMUS: A NEW ALGORITHM. INTERNATIONAL JOURNAL OF DATA ENVELOPMENT ANALYSIS[Internet]. 2013;1(4 (4)):247-257. Available from: https://sid.ir/paper/242755/en

    IEEE: Copy

    S. MEHRABIAN, “USING NON-ARCHIMEDEAN DEA MODELS FOR CLASSIFICATION OF DMUS: A NEW ALGORITHM,” INTERNATIONAL JOURNAL OF DATA ENVELOPMENT ANALYSIS, vol. 1, no. 4 (4), pp. 247–257, 2013, [Online]. Available: https://sid.ir/paper/242755/en

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    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
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