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Estimating Missing Values in Incomplete Additive Fuzzy Preference Relations

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2007)

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

Abstract

In some occasions, decision makers may have to deal with the problems in which only partial information is available. As a result, decision makers embody their preferences as incomplete fuzzy preference relations. In this paper, we propose an iterative procedure to estimate the missing values of the incomplete fuzzy preference relations that are assumed to be additive. The procedure is based on additive transitivity property. Measures of consistency and completeness of an incomplete fuzzy preference are also developed to assist decision makers to identify the quality of their decisions.

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References

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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, Hsin-Hsiung Fang & Chen-Huei Yeh

  2. Department of Aviation and Maritime Management, Chang Jung Christian University, Tainan 711, Taiwan

    Ming-Tao Chou

  3. Department of Shipping and Business Management, China College of Marine Technology and Commerce, Taipei 111, Taiwan

    Hsin-Hsiung Fang & Wei-Kuo Tseng

  4. Yang Ming Marine Transport Corporation, Taiwan

    Chen-Huei Yeh

Authors
  1. Hsuan-Shih Lee
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  2. Ming-Tao Chou
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  3. Hsin-Hsiung Fang
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  4. Wei-Kuo Tseng
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  5. Chen-Huei Yeh
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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., Chou, MT., Fang, HH., Tseng, WK., Yeh, CH. (2007). Estimating Missing Values in Incomplete Additive Fuzzy Preference Relations. 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_163

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  • DOI: https://doi.org/10.1007/978-3-540-74827-4_163

  • 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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