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Issue:On some ways of determining membership and non-membership functions characterizing intuitionistic fuzzy sets

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Title of paper: On some ways of determining membership and non-membership functions characterizing intuitionistic fuzzy sets
Author(s):
Krassimir Atanassov
Dept. of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 105 Acad. G. Bonchev Str., 1113 Sofia, Bulgaria
krat@bas.bg
Eulalia Szmidt
Systems Research Institute - Polish Academy of Sciences, ul. Newelska 6, 01-447 Warsaw, Poland
szmidt@ibspan.waw.pl
Janusz Kacprzyk
Systems Research Institute - Polish Academy of Sciences, ul. Newelska 6, 01-447 Warsaw, Poland
kacprzyk@ibspan.waw.pl
Presented at: 6th IWIFS, Banska Bystrica, 11 October 2010
Published in: Conference proceedings, "Notes on IFS", Volume 16 (2010) Number 4, pages 26—30
Download:  PDF (113  Kb, Info)
Abstract: In the theory of fuzzy sets, various methods are discussed for the generation of values of the membership function (for instance, see [5, 6, 8, 9]). Here we will discuss a way of generation of the two degrees — of membership and of non-membership that exist in the intuitionistic fuzzy sets (IFSs). For other approaches of assigning membership and non-membership functions of IFSs, see [7].


References:
  1. Atanassov, K. Intuitionistic Fuzzy Sets. Springer Physica-Verlag, Heidelberg, 1999.
  2. Atanassov, K. On Intuitionistic Fuzzy Sets Theory. Springer (in press).
  3. Atanassov, K., On index matrices. Part 1: Standard cases. Advanced Studies in Contemporary Mathematics, Vol. 20, 2010, No. 2, 291-302.
  4. Atanassov, K. On index matrices, Part 2: Intuitionistic fuzzy case. Proceedings of the Jangjeon Mathematical Society, Vol. 13, 2010, No. 2, 121-126.
  5. Buckley, J., Fuzzy Statistics, Springer, Berlin, 2004.
  6. Kaufmann A., Introduction a la theorie des sour-ensembles ous, Paris, Masson, 1977.
  7. Szmidt E. and Baldwin J. Intuitionistic fuzzy set functions, mass assignment theory, possibility theory and histograms. 2006 IEEE World Congress on Computational Intelligence, 2006, 237-243.
  8. Zadeh, L. Fuzzy sets. Information and Control, Vol. 8, 1965, 338-353.
  9. Zadeh L., The concept of a linguistic variable and its application to approximate reasoning, American Elsevier Publ. Co., New York, 1973.
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