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Fuzzy Set Theory and Modelling of Natural Language Semantics

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Book cover Interactive Fuzzy Optimization

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 368))

Abstract

The paper is a survey of main notions and results obtained in fuzzy set theory with a special emphasise on its use in the modelling of natural language semantics. First, the concept of a fuzzy set and the main notions and operations related to fuzzy sets are presented and a connection of this theory with fuzzy logic is mentioned. Then, a brief overview of results in the modelling of natural language semantics using fuzzy sets is given.

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Author information

Authors and Affiliations

  1. Czechoslovak Academy of Sciences, Mining Institute, Studentská 1768, 708 00, Ostrava-Poruba, Czechoslovakia

    Vilém Novák

Authors
  1. Vilém Novák
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Editor information

Editors and Affiliations

  1. Institute of Computer Science, University of Trento, Via Inama 13, 38100, Trento, Italy

    Mario Fedrizzi

  2. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland

    Janusz Kacprzyk

  3. Institute of Mathematics, University of Liège, Avenue des Tilleuls (D1), 4000, Liège, Belgium

    Marc Roubens

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© 1991 Springer-Verlag Berlin Heidelberg

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Novák, V. (1991). Fuzzy Set Theory and Modelling of Natural Language Semantics. In: Fedrizzi, M., Kacprzyk, J., Roubens, M. (eds) Interactive Fuzzy Optimization. Lecture Notes in Economics and Mathematical Systems, vol 368. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45700-5_1

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  • DOI: https://doi.org/10.1007/978-3-642-45700-5_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54577-4

  • Online ISBN: 978-3-642-45700-5

  • eBook Packages: Springer Book Archive

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