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Fuzziness and Uncertainty within the Framework of Context Model

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Fuzzy Sets and Systems — IFSA 2003 (IFSA 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2715))

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Abstract

In this paper, we will briefly show that the notion of context model introduced by Gebhardt and Kruse (1993) can be considered as a unifying framework for representing fuzziness and uncertainty. Firstly, from a decision making point of view, the Dempster- Shafer theory of evidence will be reinterpreted within the framework of context model. Secondly, from a concept analysis point of view, the context model will be semantically considered as a data model for constructing membership functions of fuzzy concepts in connection with likelihood as well as random set views on the interpretation of membership grades. Furthermore, an interpretation of mass assignments of fuzzy concepts within the context model is also established.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Quinhon University, 170 An Duong Vuong, Quinhon, Vietnam

    Van-Nam Huynh

  2. Graduate School of Business Sciences, University of Tsukuba, Otsuka 3-29-1, Bunkyo, Tokyo, 112-0012, Japan

    Mina Ryoke

  3. Japan Advanced Institute of Science and Technology, Tatsunokuchi, Ishikawa, 923-1292, Japan

    Van-Nam Huynh, Yoshiteru Nakamori & Tu Bao Ho

Authors
  1. Van-Nam Huynh
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  2. Mina Ryoke
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  3. Yoshiteru Nakamori
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  4. Tu Bao Ho
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Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Boğaziçi University, 34342, Bebek, Istanbul, Turkey

    Taner Bilgiç

  2. Dept. of Applied Mathematics, Biometrics and Process Control, Ghent University, Coupure links 653, 9000, Gent, Belgium

    Bernard De Baets

  3. Department of Electrical and Electronics Engineering, Boğaziçi University, 34342, Bebek, Istanbul, Turkey

    Okyay Kaynak

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© 2003 Springer-Verlag Berlin Heidelberg

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Huynh, VN., Ryoke, M., Nakamori, Y., Ho, T.B. (2003). Fuzziness and Uncertainty within the Framework of Context Model. In: Bilgiç, T., De Baets, B., Kaynak, O. (eds) Fuzzy Sets and Systems — IFSA 2003. IFSA 2003. Lecture Notes in Computer Science, vol 2715. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44967-1_26

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  • DOI: https://doi.org/10.1007/3-540-44967-1_26

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40383-8

  • Online ISBN: 978-3-540-44967-6

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