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Issue:The limit theorems on the interval valued events

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Title of paper: The limit theorems on the interval valued events
Author(s):
Karol Samuelčík
Department of Mathematics, Faculty of Humanities, Žilinská univerzita v Žiline, Univerzitná 8215/1, 010 26 Žilina, Slovakia
karol.samuelcik@fhv.uniza.sk
Ivana Hollá
Department of Mathematics, Faculty of Humanities, Žilinská univerzita v Žiline, Univerzitná 8215/1, 010 26 Žilina, Slovakia
Presented at: 9th International Workshop on Intuitionistic Fuzzy Sets, 8 October 2013, Banská Bystrica, Slovakia
Published in: "Notes on Intuitionistic Fuzzy Sets", Volume 19, 2013, Number 2, pages 31—41
Download:  PDF (124  Kb, File info)
Abstract: Interval valued event (IV event) is a pair A=(μA, νA) of fuzzy events such that μ A ≤ ν A. The IV theory is isomorphic to the intuitionistic fuzzy theory. The paper contains a construction of mathematical apparatus and the proofs of some limit theorems in a space of IV events.
Keywords: Intuitionistic fuzzy events, Interval valued events; The limit theorems.
AMS Classification: 03E72
References:
  1. Atanassov, K. Intuitionistic Fuzzy Sets: Theory and Applications. Springer-Physica Verlag, Heidelberg, 1999.
  2. Ciungu, L., B. Riečan. General form of probability on IF-sets. Fuzzy Logic and Applications, Proc. of 8th Int. Workshop WILF, Lecture Notes in Artificial Intelligence, 2009, 101–107.
  3. Riečan, B., P. Král. Probability on interval valued events. Proc. of the 11th International Workshop on Generalized Nets and the Second International Workshop on Generalized Nets, Intuitionistic Fuzzy Sets and Knowledge Engineering, London 9 July 2010, 66–70.
  4. Samuelčík, K.,I. Hollá. Conditional probability on the Kôpka’s D-posets.Acta Mathematica SINICA, English series, Vol. 28, Nov. 2012, No. 11, 2197–2204.
  5. Samuelčík, K. The weak law of large numbers in P-probability theory. Afrika Matematika,2011, DOI:10.1007/s13370-011-0032-z.
  6. Samuelčík, K., I. Hollá. Central limit theorem on IV sets. Recent Advances in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics, Volume I: Foundations (K. Atanassov, et al. eds.), 2010, 187–196.
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