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Issue:On some methods of study of states on interval valued fuzzy sets

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Title of paper: On some methods of study of states on interval valued fuzzy sets
Author(s):
Alžbeta Michalíková
Faculty of Natural Sciences, Matej Bel University, Tajovskeho 40, Banská Bystrica, Slovakia
Mathematical Institute, Slovak Academy of Sciences, Dumbierska 1, Banská Bystrica, Slovakia
alzbeta.michalikova@umb.sk
 Beloslav Riečan 
Published in: Notes on Intuitionistic Fuzzy Sets, Volume 24 (2018), Number 4, pages 5–12
DOI: https://doi.org/10.7546/nifs.2018.24.4.5-12
Download:  PDF (171 Kb  Kb, File info)
Abstract: In this paper the state on interval valued fuzzy sets is studied. Two methods are considered: a representation of a state by a Kolmogorov probability and an embedding to an MV-algebra. The Butnariu–Klement representation theorem for interval valued fuzzy sets as a relation between probability measure and state is presented.
Keywords: IF-set, IV -set, State, Central limit theorem.
AMS Classification: 03E72
References:
  1. Atanassov, K. T. (1983). Intuitionistic Fuzzy Sets, VII ITKR Session, Sofia, 20-23 June 1983 (Deposed in Centr. Sci.-Techn. Library of the Bulg. Acad. of Sci., 1697/84) (in Bulgarian). Reprinted: Int. J. Bioautomation, 2016, 20(S1), S1–S6.
  2. Butnariu, D., & Klement, E. P. (1993). Triangular norm-based measures. Triangular Norm-Based Measures and Games with Fuzzy Coalitions, Springer, Dordrecht, 37–68.
  3. Ciungu, L., & Riečan, B. (2009). General form of probabilities on IF-sets. In: Di Gesu, V., Pal, S. K., & Petrosino, A. (eds) Fuzzy Logic and Applications. WILF 2009. Lecture Notes in Computer Science, Vol. 5571. Springer, Berlin, Heidelberg.
  4. Čunderlíková, K., & Riečan, B. (2016). On Two Formulations of the Representation Theorem for an IF-state. In: Atanassov K. et al. (eds) Uncertainty and Imprecision in Decision Making and Decision Support: Cross-Fertilization, New Models and Applications. IWIFSGN 2016. Advances in Intelligent Systems and Computing, Vol. 559. Springer, Cham.
  5. Halmos, P. R. (1950). Measure Theory. New York.
  6. Michalíková, A., & Riečan, B. (2018). On some methods of probability. Notes on Intuitionistic Fuzzy Sets, 24(2), 76–83.
  7. Riečan, B., & Mundici, D. (2002). Probability on MV-algebras. Handbook of Measure Theory. E. Pap Ed. Elsevier Science, Amsterdam, Chapter 21, 869–910.
  8. Riečan, B., & Neubrunn, T. (2013). Integral, Measure, and Ordering (Vol. 411). Springer Science and Business Media.
  9. Zadeh, L. A. (1965). Fuzzy sets. Information and Control. 8(3), 338–353.
  10. Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning—I. Information Sciences, 8(3), 199–249.
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