Title :
Interval based evidence sets
Author :
Rocha, Luis Mateus
Author_Institution :
Dept. of Appl. Sci., State Univ. of New York, Binghamton, NY, USA
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;
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
DOI :
10.1109/ISUMA.1995.527767