• DocumentCode
    1637372
  • Title

    Interval based evidence sets

  • Author

    Rocha, Luis Mateus

  • Author_Institution
    Dept. of Appl. Sci., State Univ. of New York, Binghamton, NY, USA
  • fYear
    1995
  • Firstpage
    624
  • Lastpage
    629
  • Abstract
    The relationship between set theory and the modeling of human categorization processes is the starting point of a discussion aiming at the definition of mathematical structures capable of better representing human categorization and linguistic capabilities. It is maintained that a theory of belief which acknowledges subjectivity and observed dependence, is imperative in any attempt to model cognitive categorization. A connection between the Dempster-Shafer Theory of Evidence and Interval Valued Fuzzy Sets is proposed through the presentation of a structure called Evidence Set. This structure allows the introduction of all the recognized forms of uncertainty uncapturable by Fuzzy or Interval Valued Fuzzy Sets alone, as well as a representation of belief in a set arrangement
  • Keywords
    belief maintenance; case-based reasoning; fuzzy set theory; probability; uncertainty handling; Dempster-Shafer Theory of Evidence; Evidence Set; Interval Valued Fuzzy Sets; belief theory; cognitive categorization; human categorization; interval based evidence sets; linguistic; mathematical structures; observed dependence; set theory; subjectivity; uncertainty; Fuzzy sets; Humans; In vitro fertilization; Industrial engineering; Mathematical model; Probability distribution; Set theory; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Uncertainty Modeling and Analysis, 1995, and Annual Conference of the North American Fuzzy Information Processing Society. Proceedings of ISUMA - NAFIPS '95., Third International Symposium on
  • Conference_Location
    College Park, MD
  • Print_ISBN
    0-8186-7126-2
  • Type

    conf

  • DOI
    10.1109/ISUMA.1995.527767
  • Filename
    527767