Probabilities from fuzzy observations
Information Sciences: an International Journal
On the relationship between some extensions of fuzzy set theory
Fuzzy Sets and Systems - Theme: Basic notions
Fuzzy Probabilities: New Approach and Applications (Studies in Fuzziness and Soft Computing)
Fuzzy Probabilities: New Approach and Applications (Studies in Fuzziness and Soft Computing)
Fuzzy Probability and Statistics (Studies in Fuzziness and Soft Computing)
Fuzzy Probability and Statistics (Studies in Fuzziness and Soft Computing)
Representation theorem for probabilities on IFS-events
Information Sciences: an International Journal
Intuitionistic Fuzzy Sets: Theory and Applications
Intuitionistic Fuzzy Sets: Theory and Applications
A theory of independent fuzzy probability for system reliability
IEEE Transactions on Fuzzy Systems
On the representation of intuitionistic fuzzy t-norms and t-conorms
IEEE Transactions on Fuzzy Systems
Atanassov's intuitionistic fuzzy probability and Markov chains
Knowledge-Based Systems
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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.