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A Discriminative Multi-Objective Programming Method for Solving Network DEA

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Advances in Intelligent Systems and Applications - Volume 1

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 20))

Abstract

This study proposes the multi-objective programming (MOP) method for solving network DEA models. In the proposed method, the efficiency of each division (within a DMU) and the overall efficiency of the DMU are formulated as different objective functions. By the fuzzy approach, the overall as well as the divisional efficiencies can be computed in a cohesive framework. We adopt information entropy to estimate the discriminating power of various DEA models. The results show that this study obtains satisfactory and discriminating efficiency scores compared with related studies.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan

    Han-Ying Kao & Chieh-Yu Chan

Authors
  1. Han-Ying Kao
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  2. Chieh-Yu Chan
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Corresponding author

Correspondence to Han-Ying Kao .

Editor information

Editors and Affiliations

  1. , Department of Computer Science and, National Dong Hwa University, #1, Sec. 2, Da Hsueh Rd., Hualien, Taiwan R.O.C.

    Ruay-Shiung Chang

  2. , Adjunct Professor, University of Canberra, Kirinari St. Mail Room, ACT, 2601, Australia

    Lakhmi C. Jain

  3. , Department of Computer Science and, National Dong Hwa University, #1, Sec. 2, Da Hsueh Rd., Hualien, Taiwan R.O.C.

    Sheng-Lung Peng

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Kao, HY., Chan, CY. (2013). A Discriminative Multi-Objective Programming Method for Solving Network DEA. In: Chang, RS., Jain, L., Peng, SL. (eds) Advances in Intelligent Systems and Applications - Volume 1. Smart Innovation, Systems and Technologies, vol 20. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35452-6_34

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  • DOI: https://doi.org/10.1007/978-3-642-35452-6_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35451-9

  • Online ISBN: 978-3-642-35452-6

  • eBook Packages: EngineeringEngineering (R0)

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