• DocumentCode
    3523527
  • Title

    Determination of fuzzy logic membership functions using genetic algorithms: application to olfaction

  • Author

    Kissi, Mohamed ; Ramdani, Mohammed ; Tollabi, Mustapha ; Zakarya, D.

  • Author_Institution
    Fac. des Sci., Mohammedia Tech., Morocco
  • fYear
    2003
  • fDate
    14-17 Dec. 2003
  • Firstpage
    616
  • Lastpage
    619
  • Abstract
    Genetic algorithm (GA) is an adaptive search technique based on natural selection and genetic rules. GA takes place in various scientific applications and it can be also used to determine the membership functions in fuzzy system. In this paper, a new approach to the recognition of odors is presented. This approach has been implemented using a database of camphorated molecules and an expert knowledge in the fuzzy rule form, for these molecules. The aim of the study is to adjust the shape of membership functions using GA.
  • Keywords
    chemical engineering computing; expert systems; fuzzy logic; fuzzy systems; genetic algorithms; adaptive search technique; camphorated molecules database; expert knowledge; fuzzy logic membership functions; fuzzy system; genetic algorithms; natural selection; odor recognition; Atomic measurements; Books; Databases; Density measurement; Fuzzy logic; Fuzzy sets; Genetic algorithms; Length measurement; Shape; Volume measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Information Technology, 2003. ISSPIT 2003. Proceedings of the 3rd IEEE International Symposium on
  • Print_ISBN
    0-7803-8292-7
  • Type

    conf

  • DOI
    10.1109/ISSPIT.2003.1341196
  • Filename
    1341196