• DocumentCode
    629733
  • Title

    Expert rules refinement by solving fuzzy relational equations

  • Author

    Rotshtein, Alexander ; Rakytyanska, Hanna

  • Author_Institution
    Dept. of Ind. Eng. & Manage., Jerusalem Coll. of Technol., Jerusalem, Israel
  • fYear
    2013
  • fDate
    6-8 June 2013
  • Firstpage
    257
  • Lastpage
    264
  • Abstract
    In this paper, an approach to expert rules refinement within the framework of fuzzy relational calculus is proposed. The system of fuzzy rules can be rearranged as a collection of linguistic solutions of fuzzy relational equations using the composite system of fuzzy terms. Resolution of fuzzy relational equations guarantees the optimal number of fuzzy rules for each output fuzzy term and the optimal geometry of input fuzzy terms for each linguistic solution.
  • Keywords
    expert systems; fuzzy set theory; relational algebra; composite system; expert rules refinement; fuzzy relational calculus; fuzzy relational equations; fuzzy rules system; fuzzy terms; linguistic solution; optimal geometry; Equations; Genetic algorithms; Knowledge based systems; Mathematical model; Pragmatics; Tuning; Vectors; Expert rules refinement; solving fuzzy relational equations; structural tuning of knowledge bases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Human System Interaction (HSI), 2013 The 6th International Conference on
  • Conference_Location
    Sopot
  • ISSN
    2158-2246
  • Print_ISBN
    978-1-4673-5635-0
  • Type

    conf

  • DOI
    10.1109/HSI.2013.6577833
  • Filename
    6577833