• DocumentCode
    2070279
  • Title

    A walk through fuzzy relations and their application to information retrieval, medical diagnosis and expert systems

  • Author

    Kerre, E.E.

  • Author_Institution
    Seminar for Math. Anal., State Univ. of Gent, Belgium
  • fYear
    1990
  • fDate
    3-5 Dec 1990
  • Firstpage
    84
  • Lastpage
    89
  • Abstract
    One of the most fundamental notions in pure and applied sciences is the concept of a relation. Science has been described as the discovery of relations between objects, states and events. The concept of a fuzzy relation-where instead of dealing with related or nonrelated objects, one is considering objects that are related in some degree-has thoroughly enriched the applicability of this fundamental concept. Due to recently introduced notions of after- and fore-set, some important compositions of fuzzy relations have been introduced. The paper presents an overview of the most important theoretical notions and set-theoretic operations on fuzzy relations in terms of after- and fore-sets. It then considers three possible areas of application of fuzzy relations: information retrieval, medical diagnosis and expert system inference mechanisms
  • Keywords
    expert systems; fuzzy set theory; inference mechanisms; information retrieval; medical diagnostic computing; after-set; expert system inference mechanisms; fore-set; fuzzy relations; information retrieval; medical diagnosis; Diagnostic expert systems; Fuzzy sets; Fuzzy systems; Hybrid intelligent systems; Information retrieval; Mathematical analysis; Medical diagnosis; Medical expert systems; Seminars; Temperature dependence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Uncertainty Modeling and Analysis, 1990. Proceedings., First International Symposium on
  • Conference_Location
    College Park, MD
  • Print_ISBN
    0-8186-2107-9
  • Type

    conf

  • DOI
    10.1109/ISUMA.1990.151228
  • Filename
    151228