• DocumentCode
    2124178
  • Title

    Computational intelligence with fuzzy logic for complex systems

  • Author

    Singh, Jasvir

  • Author_Institution
    Dept. of Electron. Technol., Guru Nanak Dev Univ., Amritsar, India
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    99
  • Lastpage
    105
  • Abstract
    Fuzzy logic is an innovative technology that enhances conventional system design with engineering expertise. The working of fuzzy logic becomes clear if one focuses on the working of present day computers. The working of present day computers is based on simple binary logic. Boolean logic is good for computing, but it does not work for imprecise values, since these computers normally solve problems by breaking them down into a series of binary decisions. Fuzzy logic allows the computers to assign numerical values that fall between "ones" and "zeroes", there is no clear border line between these values. Instead of statement being only true or false, fuzzy theory sets up condition as slow, medium, and fast. This paper deals with the state of art of fuzzy logic and with its advantages
  • Keywords
    artificial intelligence; fuzzy logic; fuzzy set theory; Boolean logic; artificial intelligence; binary logic; computational intelligence; fuzzy logic design; fuzzy set theory; imprecise values; reasoning; Computational intelligence; Design engineering; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Humans; Sensor phenomena and characterization; Set theory; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modern Communication Technologies, 2001. SIBCOM-2001. The IEEE-Siberian Workshop of Students and Young Researchers
  • Conference_Location
    Tomsk
  • Print_ISBN
    0-7803-6611-5
  • Type

    conf

  • DOI
    10.1109/SIBCOM.2001.977533
  • Filename
    977533