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Published in:
2010 | OriginalPaper | Chapter
Intuitionistic Fuzzy Probability
Authors : Claudilene Gomes Da Costa, Benjamin Callejas Bedregal, Adrião Duarte Doria Neto
Published in: Advances in Artificial Intelligence – SBIA 2010
Publisher: Springer Berlin Heidelberg
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Fuzzy Probabilities are an extension of the concept of probabilities with application in several practical problems. The former are probabilities represented through fuzzy numbers, to indicate the uncertainty in the value assigned to a probability. Moreover, Krassimir Atanassov in 1983 added an extra degree of uncertainty to classic fuzzy sets for modeling the hesitation and uncertainty about the degree of membership. This new theory of fuzzy sets is known today as intuitionistic fuzzy set theory.
This work will extend the notion of fuzzy probabilities by representing probabilities through the intuitionistic fuzzy numbers, in the sense of Atanassov, instead of fuzzy numbers.