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Generating Fuzzy Thesaurus by Degree of Similarity in Fuzzy Covering

  • Conference paper
Foundations of Intelligent Systems (ISMIS 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2871))

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Abstract

A notion of fuzzy covering over a set of terms was proposed as a generalization of a well known fuzzy partition. Degree of similarity relationship between fuzzy classes (subsets) on the set of terms (subjects) as results of the fuzzy covering is approximately calculated using a fuzzy conditional probability relation by which degree of similarity relationship between two terms can be determined. An associated function was defined to calculate degree of association between two terms. Special attention will be given to generate a concept of fuzzy thesaurus using the associated function. Its some properties are discussed and examined. A simple example is given to demonstrate the concept.

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Author information

Authors and Affiliations

  1. Meiji University, Kawasaki-shi, Kanagawa-ken, Japan

    Rolly Intan & Masao Mukaidono

  2. Petra Christian University, Surabaya, Indonesia, 60236

    Rolly Intan

Authors
  1. Rolly Intan
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  2. Masao Mukaidono
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Editor information

Editors and Affiliations

  1. The International WIC Institute, Beijing University of Technology, China

    Ning Zhong

  2. Department of Computer Science, University of North Carolina, NC 28223, Charlotte, USA

    Zbigniew W. Raś

  3. Shimane University, 89-1 Enya-cho Izumo, 6938501, Shimane, Japan

    Shusaku Tsumoto

  4. Department of Informatics, Graduate School of Information Science and Electrical Engineering, Kyushu University, 744 Motooka, Nishi, 819-0395, Fukuoka, Japan

    Einoshin Suzuki

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© 2003 Springer-Verlag Berlin Heidelberg

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Intan, R., Mukaidono, M. (2003). Generating Fuzzy Thesaurus by Degree of Similarity in Fuzzy Covering. In: Zhong, N., Raś, Z.W., Tsumoto, S., Suzuki, E. (eds) Foundations of Intelligent Systems. ISMIS 2003. Lecture Notes in Computer Science(), vol 2871. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39592-8_60

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  • DOI: https://doi.org/10.1007/978-3-540-39592-8_60

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20256-1

  • Online ISBN: 978-3-540-39592-8

  • eBook Packages: Springer Book Archive

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