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

KES 2006: Knowledge-Based Intelligent Information and Engineering Systems pp 922–928Cite as

A Fuzzy Multiple Objective DEA for the Human Development Index

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4252))

Abstract

Traditionally, the HDI is calculated under the assumption that all component indices are given the same weights. Although this assumption has been supported in the Human Development Reports, it has met also considerable criticism in the literature. In this paper, we present a new model to determine the weights of component indices in the light of data envelopment analysis (DEA). We develop a fuzzy multiple objective DEA model to assess the relative performance of the countries in terms of human development by using optimal weights for the component indices of the HDI.

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Author information

Authors and Affiliations

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

    Hsuan-Shih Lee, Kuang Lin & Hsin-Hsiung Fang

  2. Department of Shipping And Business Management China College of Marine Technology and Commerce,  

    Hsin-Hsiung Fang

Authors
  1. Hsuan-Shih Lee
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  2. Kuang Lin
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  3. Hsin-Hsiung Fang
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Editor information

Editors and Affiliations

  1. School of Design, Engineering and Computing, Bournemouth University, UK

    Bogdan Gabrys

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, SA, 5095, Mawson Lakes, Australia

    Lakhmi C. Jain

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© 2006 Springer-Verlag Berlin Heidelberg

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Cite this paper

Lee, HS., Lin, K., Fang, HH. (2006). A Fuzzy Multiple Objective DEA for the Human Development Index. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893004_118

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  • DOI: https://doi.org/10.1007/11893004_118

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46537-9

  • Online ISBN: 978-3-540-46539-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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