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A Fuzzy Relational System with Linguistic Antecedent Certainty Factors

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Neural Networks and Soft Computing

Part of the book series: Advances in Soft Computing ((AINSC,volume 19))

Abstract

In this paper, we describe a new relational fuzzy system with linguistic antecedent certainty factors. This is achieved thanks to fuzzy sets placed in a relation matrix linking antecedent and consequent fuzzy sets. Expert uncertainty about antecedent fuzzy linguistic values, now can be expressed in the form of linguistic values, e.g. roughly, more or less. Some numerical simulations of the new fuzzy model are also given.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Częstochowa University of Technology, Al. Armii Krajowej 36, 42-200, Częstochowa, Poland

    Rafał Scherer & Leszek Rutkowski

Authors
  1. Rafał Scherer
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  2. Leszek Rutkowski
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Editors and Affiliations

  1. Department of Computer Engineering, Technical University Częstochowa, Al. Armii Krajowej 36, 42-200, Częstochowa, Poland

    Leszek Rutkowski

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

    Janusz Kacprzyk

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© 2003 Springer-Verlag Berlin Heidelberg

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Scherer, R., Rutkowski, L. (2003). A Fuzzy Relational System with Linguistic Antecedent Certainty Factors. In: Rutkowski, L., Kacprzyk, J. (eds) Neural Networks and Soft Computing. Advances in Soft Computing, vol 19. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1902-1_86

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  • DOI: https://doi.org/10.1007/978-3-7908-1902-1_86

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-0005-0

  • Online ISBN: 978-3-7908-1902-1

  • eBook Packages: Springer Book Archive

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