• DocumentCode
    1772893
  • Title

    Heuristic algorithm of two-level minimization of fuzzy logic functions

  • Author

    Wielgus, Andrzej

  • Author_Institution
    Inst. of Microelectron. & Optoelectron., Warsaw Univ. of Technol., Warsaw, Poland
  • fYear
    2014
  • fDate
    23-25 April 2014
  • Firstpage
    302
  • Lastpage
    305
  • Abstract
    Two-level minimization is an important step in multilevel synthesis of fuzzy logic functions. The paper discusses some methods of both exact and approximate minimization. A new heuristic algorithm, based on the fuzzy consensus method, is proposed. Example results of minimization are reported and compared with the results of the exact methods.
  • Keywords
    fuzzy logic; fuzzy set theory; minimisation; approximate minimization; exact minimization; fuzzy consensus method; fuzzy logic functions; heuristic algorithm; two-level minimization; Algebra; Fuzzy logic; Fuzzy systems; Hardware; Heuristic algorithms; Minimization; Switches; cube; fuzzy implicant; fuzzy logic function; minimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design and Diagnostics of Electronic Circuits & Systems, 17th International Symposium on
  • Conference_Location
    Warsaw
  • Print_ISBN
    978-1-4799-4560-3
  • Type

    conf

  • DOI
    10.1109/DDECS.2014.6868815
  • Filename
    6868815
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1772893