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Theories and Approaches to Treat Incomparability

  • Conference paper
Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7027))

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Abstract

As we know, when human beings try to understand and deal with practical problems, especially in their evaluation or decision making process, comparison is a way commonly used to tell something about something else - “there can be no differentiation without comparison”.

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Author information

Authors and Affiliations

  1. College of Mathematics, Southwest Jiaotong University, Chengdu, Sichuan, 610031, P.R. China

    Yang Xu

  2. School of Computing and Mathematics, University of Ulster, UK

    Jun Liu

Authors
  1. Yang Xu
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  2. Jun Liu
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Editors and Affiliations

  1. College of Computer Science, Zhejiang University, 310027, Hangzhou, Zhejiang Province, P.R. China

    Yongchuan Tang

  2. Japan Advanced Institute of Science and Technology (JAIST), 923-1292, Tatsunokuchi, Ishikawa, Japan

    Van-Nam Huynh

  3. Artificial Intelligence Group, Engineering Mathematics Department, University of Bristol, BS8 1TR, UK

    Jonathan Lawry

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© 2011 Springer-Verlag Berlin Heidelberg

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Xu, Y., Liu, J. (2011). Theories and Approaches to Treat Incomparability. In: Tang, Y., Huynh, VN., Lawry, J. (eds) Integrated Uncertainty in Knowledge Modelling and Decision Making. IUKM 2011. Lecture Notes in Computer Science(), vol 7027. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24918-1_3

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  • DOI: https://doi.org/10.1007/978-3-642-24918-1_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24917-4

  • Online ISBN: 978-3-642-24918-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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