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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1081))

Abstract

In the paper the space of observables with respect to a family of intuitionistic fuzzy events is considered. Two important theorems are proved: the Central limit theorem and the Strong law of large numbers. They are a basis for statistical applications. As a consequence the corresponding results for fuzzy events are obtained.

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References

  1. Atanassov, K.T.: Intuitionistic Fuzzy Sets: Theory and Applications. Studies in Fuzziness and Soft Computing. Physica-Verlag, Heidelberg (1999)

    Book  Google Scholar 

  2. Atanassov, K.T.: On Intuitionistic Fuzzy Sets. Springer, Heidelberg (2012)

    Book  Google Scholar 

  3. Bartková, R., Čunderlíková, K.: About Fisher-Tippett-Gnedenko theorem for intuitionistic fuzzy events. In: Kacprzyk, J., et al. (eds.) Advances in Fuzzy Logic and Technology 2017, IWIFSGN 2017, EUSFLAT 2017. Advances in Intelligent Systems and Computing, vol. 641, pp. 125–135. Springer, Cham (2018)

    Google Scholar 

  4. Lendelová, K.: Convergence of IF-observables. In: Issues in the Representation and Processing of Uncertain and Imprecise Information - Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized nets, and Related Topics, pp. 232–240 (2005)

    Google Scholar 

  5. Lendelová, K.: Conditional IF-probability. In: Lawry, J., et al. (eds.) Soft Methods for Integrated Uncertainty Modelling. Advances in Soft Computing, pp. 275–283. Springer, Heidelberg (2006)

    Google Scholar 

  6. Riečan, B.: On the probability and random variables on IF events. In: Ruan, D., et al. (eds.) Applied Artificial Intelligence, Proceedings of the 7th FLINS Conference, Genova, pp. 138–145 (2006)

    Google Scholar 

  7. Riečan, B.: Analysis of fuzzy logic models. In: Koleshko, V. (ed.) Intelligent Systems, INTECH, pp. 219–244 (2012)

    Google Scholar 

  8. Riečan, B., Neubrunn, T.: Integral, Measure and Ordering. Kluwer, Dordrecht (1997)

    Book  Google Scholar 

  9. Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–358 (1965)

    Article  Google Scholar 

  10. Zadeh, L.A.: Probability measures on fuzzy sets. J. Math. Anal. Appl. 23, 421–427 (1968)

    Article  MathSciNet  Google Scholar 

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Correspondence to Katarína Čunderlíková .

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Čunderlíková, K., Riečan, B. (2021). Convergence of Intuitionistic Fuzzy Observables. In: Atanassov, K., et al. Uncertainty and Imprecision in Decision Making and Decision Support: New Challenges, Solutions and Perspectives. IWIFSGN 2018. Advances in Intelligent Systems and Computing, vol 1081. Springer, Cham. https://doi.org/10.1007/978-3-030-47024-1_4

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