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Issue:Upper and lower limits and m-almost everywhere convergence of intuitionistic fuzzy observables

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Title of paper: Upper and lower limits and m-almost everywhere convergence of intuitionistic fuzzy observables
Author(s):
Katarína Čunderlíková
Mathematical Institute, Slovak Academy of Sciences, Stefanikova 49, 814 73 Bratislava, Slovakia
cunderlikova.lendelova@gmail.com
Published in: Notes on Intuitionistic Fuzzy Sets, Volume 24 (2018), Number 4, pages 40–49
DOI: https://doi.org/10.7546/nifs.2018.24.4.40-49
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Abstract: In paper [4] we defined the upper and the lower limits for sequence of intuitionistic fuzzy observables with the help of intuitionistic fuzzy probability P and we compared two concepts of P-almost everywhere convergence. The aim of this paper is to define the lower and upper limits using the intuitionistic fuzzy state m. We study two concepts of m-almost everywhere convergence and we show that they are equivalent, too.
Keywords: IF-observable,m-almost everywhere convergence, Upper limit, Lower limit, IF-sets, IF-state, IF-probability, Zero IF-observable.
AMS Classification: 03B52, 60A86, 60B10.
References:
  1. Atanassov, K. (1999). Intuitionistic Fuzzy Sets: Theory and Applications. Physica Verlag, Berlin.
  2. Atanassov, K. T. (2012). On Intuitionistic Fuzzy Sets. Springer, Berlin.
  3. Grzegorzewski, P., & Mr´owka, E. (2002). Probability of intuistionistic fuzzy events. In P. Grzegorzewski et al. eds, Soft Metods in Probability, Statistics and Data Analysis, Physica Verlag, New York, 105–115.
  4. Lendelova, K. (2007). Almost eweryvhere convergence in family of IF-events with product. In New Dimensions in Fuzzy Logic and Related Technologies: Procedings of the 5th EUSFLAT Conference, Ostrava, Czech Republic, 11–14 September 2007, 231–236.
  5. Riecan, B. (2003). A descriptive definition of the probability on intuitionistic fuzzy sets. In M. Wagenecht, R. Hampet eds., EUSFLAT ’2003, Zittau-Goerlitz Univ. Appl. Sci., 263–266.
  6. Riecan, B. (2006). On a problem of Radko Mesiar: general form of IF-probabilities. Fuzzy Sets and Systems, 152, 1485–1490.
  7. Riecan, B. (2007). Probability theory on intuitionistic fuzzy events. In A volume in honour of Daniele Mundici’s 60th birthday Lecture Notes in Computer Science.
  8. Riecan, B. (2012). Analysis of fuzzy logic models, Intelligent Systems (V. Koleshko ed.), INTECH, 219–244.
  9. Riecan, B. & Neubrunn, T. (1997). Integral, Measure and Ordering. Kluwer, Dordrecht.
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