Analysis and synthesis of fuzzy systems by the use of probabilistic sets

K. Hirota*, W. Pedrycz

*Corresponding author for this work

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Abstract

The paper deals with an application of probabilistic sets in system theory, especially in identification problems in systems described by means of max-min fuzzy relational equations. The identification procedures discussed are based on some ideas of iterative clustering techniques (ISODATA and FUZZY C-MEANS) which lead to a concrete method of determination of probabilistic sets. A vagueness function associated with the fuzzy relation of the system forms a validity indicator of the identification algorithm. Numerical examples containing fuzzy and nonfuzzy data form an illustration of the methods provided.

Original languageEnglish
Pages (from-to)1-13
Number of pages13
JournalFuzzy Sets and Systems
Volume10
Issue number1-3
DOIs
Publication statusPublished - 1983
Externally publishedYes

Keywords

  • Clustering techniques
  • Max-min fuzzy relational equation
  • Probabilistic set
  • Vagueness function

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Hirota, K., & Pedrycz, W. (1983). Analysis and synthesis of fuzzy systems by the use of probabilistic sets. Fuzzy Sets and Systems, 10(1-3), 1-13. https://doi.org/10.1016/S0165-0114(83)80098-0