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
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