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International Conference on Knowledge-Based and Intelligent Information and Engineering Systems

KES 2007: Knowledge-Based Intelligent Information and Engineering Systems pp 1285–1292Cite as

A Fuzzy Ranking Approach to Data Envelopment Analysis

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4693))

Abstract

One problem with data envelopment analysis (DEA), a prominent evaluation method in social sciences, is its low discriminating power when evaluated units are insufficient or inputs and outputs are too many relative to the number of units. To deal with this problem, we incorporate fuzzy set theory with classical DEA so that a broader aspect of evaluation could be taken into account. We propose a method to encapsulate the efficiencies of an unit in different aspects as a fuzzy efficiency. A fuzzy efficiency is further compared with other fuzzy efficiencies to determine its strength and weakness based on extended fuzzy preference relation. With the strength and weakness of an unit, we aggregate them into a total performance index so that a complete ranking of units is obtained. The method proposed in this paper demonstrates a high discrimination in DEA applications compared to classical DEA.

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Author information

Authors and Affiliations

  1. Department of Shipping and Transportation Management, National Taiwan Ocean University, Keelung 202, Taiwan

    Hsuan-Shih Lee

  2. Department of Information Management, Ming Chung University, Taipei 111, Taiwan

    Pei-Di Shen & Wen-Li Chyr

Authors
  1. Hsuan-Shih Lee
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  2. Pei-Di Shen
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  3. Wen-Li Chyr
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Editor information

Editors and Affiliations

  1. Dipartimento di Scienze dell’Informazione, Università degli Studi di Milano, Via Comelico 39/41, 20135, Milano, Italy

    Bruno Apolloni

  2. Centre for SMART Systems, School of Engineering, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. Knowledge-Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, SA 5095, Adelaide, Australia

    Lakhmi Jain

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© 2007 Springer-Verlag Berlin Heidelberg

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Lee, HS., Shen, PD., Chyr, WL. (2007). A Fuzzy Ranking Approach to Data Envelopment Analysis. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4693. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74827-4_160

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  • DOI: https://doi.org/10.1007/978-3-540-74827-4_160

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74826-7

  • Online ISBN: 978-3-540-74827-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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