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Issue:A descriptive definition of the probability on intuitionistic fuzzy sets

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Title of paper: A descriptive definition of the probability on intuitionistic fuzzy sets
Author(s):
Beloslav Riečan
Matej Bel University, Tajovského 40, SK-97401 Banská Bystrica, Mathematical Institute of Slovak Acad. of Sciences, Štefánikova 49, SK-81473, Bratislava, Slovakia
riecan@mat.savba.sk, riecan@fpv.umb.sk
Presented at: 3rd Conference of the European Society for Fuzzy Logic and Technology, Zittau, Germany, September 10-12, 2003
Published in: Conference proceedings, pages 210-213
Download:  PDF (104  Kb, File info)
Abstract: In [2] a general probability theory has been constructed for intuitionistic fuzzy events ([1]) defined on any probability space [math]\displaystyle{ (\Omega,\mathcal{S},P) }[/math]. To any element A belonging to the family [math]\displaystyle{ \mathcal{F} }[/math] of all intuitionistic fuzzy events a compact interval P(A) on the real line is assigned. In the paper we consider a mapping [math]\displaystyle{ \mathcal{P}:\mathcal{F} \to \mathcal{J} }[/math], where [math]\displaystyle{ \mathcal{J} }[/math] is the family of all compact intervals. Some properties of [math]\displaystyle{ \mathcal{P} }[/math] are postulated axiomatically. Then a representation theorem is proved stating that to any mapping [math]\displaystyle{ \mathcal{P} }[/math] satisfying the properties there exists a probability measure [math]\displaystyle{ P:\mathcal{S} \to [0;1] }[/math] such that [math]\displaystyle{ \mathcal{P}(A) }[/math] can be expressed by the help of [math]\displaystyle{ \mathcal{P} }[/math] similarly as it has been done in [2].
Keywords: Intuitionistic fuzzy sets, Intuitionistic fuzzy distance, Similarity measure.
References:
  1. Atanassov K. (1999), Intuitionistic Fuzzy Sets: Theory and Applications. Springer-Verlag.
  2. Cross V. and Sudkamp T. (2002) Similarity and Compatibility in Fuzzy Set Theory. Physica-Verlag.
  3. Szmidt E. (2000): Applications of Intuitionistic Fuzzy Sets in Decision Making. (D.Sc.dissertation) Techn. Univ., Sofia, 2000.
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  8. Szmidt E. and Kacprzyk J. (2002c) Evaluation of Agreement in a Group of Experts via Distances Between Intuitionistic Fuzzy Sets. Proc. IS’2002 - Int. IEEE Symposium: Intelligent Systems, Varna, Bulgaria, IEEECatalog Number 02EX499, pp. 166-170.
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  10. L.A. Zadeh (1965) Fuzzy sets. Information and Control, 8, 338—353.
Citations:
  1. Riečan B., On two concepts of probability on IF-sets, Proceedings of the 10th International Conference on Intuitionistic Fuzzy Sets, "Notes on Intuitionistic Fuzzy Sets", Vol. 12, No. 3, p. 69—72

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