• DocumentCode
    3108459
  • Title

    Enhancing computer science courses with fuzzy set theory

  • Author

    Cross, Valerie V.

  • Author_Institution
    Dept. of Syst. Anal., Miami Univ., Oxford, OH, USA
  • fYear
    1998
  • fDate
    20-21 Aug 1998
  • Firstpage
    130
  • Lastpage
    134
  • Abstract
    Due to the success of fuzzy set theory in the design of nonlinear control systems, its introduction to undergraduate engineering students has become more and more widespread. However, in undergraduate computer science programs, the exposure to fuzzy set theory is very minimal or nonexistent. Computer science and information systems programs need to begin to address this issue since the use of fuzzy set theory is becoming increasingly important in advanced information systems. This paper presents an overview of an approach to the integration of fuzzy set theory into computer science courses centered on information or knowledge-based systems and also a non-major liberal education course
  • Keywords
    computer science education; educational courses; fuzzy set theory; information systems; knowledge based systems; computer science courses; fuzzy set theory; information systems; knowledge-based systems; liberal education course; nonlinear control systems; undergraduate computer science education; undergraduate engineering students; Application software; Artificial intelligence; Computer science; Database systems; Expert systems; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Information systems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society - NAFIPS, 1998 Conference of the North American
  • Conference_Location
    Pensacola Beach, FL
  • Print_ISBN
    0-7803-4453-7
  • Type

    conf

  • DOI
    10.1109/NAFIPS.1998.715550
  • Filename
    715550