• DocumentCode
    3493295
  • Title

    Algebraic aspects of fuzzy systems

  • Author

    Di Nola, Antonio ; Lettieri, Ada

  • Author_Institution
    Dipt. di Matematica e Inf., Salerno Univ.
  • Volume
    2
  • fYear
    2005
  • fDate
    19-22 Sept. 2005
  • Lastpage
    394
  • Abstract
    In performing complex tasks, very often, we recur to rules. In following rules we can recognize the general paradigm "given a condition do an action". We can code, in a given formal language, the above paradigm as a conditional statement like "if A then B", where A forms a conditional part, while B is the action part of the rule. In such a way, we can formalize knowledge based system and rule based system, in some formal language. When such rule based systems face with imprecise phenomena, it seems natural to use the formalism of fuzzy set theory. We refer to them as fuzzy rule based system
  • Keywords
    formal languages; fuzzy logic; fuzzy set theory; fuzzy systems; knowledge based systems; algebraic aspects; formal language; fuzzy rule based system; fuzzy set theory formalism; fuzzy system; knowledge based system formalism; Displays; Formal languages; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Knowledge based systems; Linearity; Machinery; Prototypes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies and Factory Automation, 2005. ETFA 2005. 10th IEEE Conference on
  • Conference_Location
    Catania
  • Print_ISBN
    0-7803-9401-1
  • Type

    conf

  • DOI
    10.1109/ETFA.2005.1612704
  • Filename
    1612704