As of August 2024, International Journal "Notes on Intuitionistic Fuzzy Sets" is being indexed in Scopus.
Please check our Instructions to Authors and send your manuscripts to nifs.journal@gmail.com. Next issue: September/October 2024.

Open Call for Papers: International Workshop on Intuitionistic Fuzzy Sets • 13 December 2024 • Banska Bystrica, Slovakia/ online (hybrid mode).
Deadline for submissions: 16 November 2024.

Issue:Symmetry between true, false and uncertain: An explanation

From Ifigenia, the wiki for intuitionistic fuzzy sets and generalized nets
Jump to navigation Jump to search
shortcut
http://ifigenia.org/wiki/issue:nifs/15/4/01-08
Title of paper: Symmetry between true, false and uncertain: An explanation
Author(s):
Eulalia Szmidt
Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447 Warsaw, Poland
szmidt@ibspan.waw.pl
Vladik Kreinovich
Department of Computer Science, University of Texas, El Paso, Texas 79968, USA
vladik@utep.edu
Presented at: 5th International Workshop on Intuitionistic Fuzzy Sets, 19 October 2009, Banská Bystrica, Slovakia.
Published in: Notes on Intuitionistic Fuzzy Sets, Volume 15, Number 4, pages 1—8
Download:  PDF (91  Kb, File info)
Abstract: In intuitionistic fuzzy sets, there is a natural symmetry between degrees of truth and falsity. As a result, for such sets, natural similarity measures are symmetric relative to an exchange of true and false values. It has been recently shown that among such measures, the most intuitively reasonable are the ones which are also symmetric relative to an arbitrary permutation of degrees of truth, falsity, and uncertainty. This intuitive reasonableness leads to a conjecture that such permutations are not simply mathematical constructions, that these permutations also have some intuitive sense. In this paper, we show that each such permutation can indeed be represented as a composition of intuitively reasonable operations on truth values.


References:
  1. K. Atanassov, Intuitionistic Fuzzy Sets: Theory and Applications, Springer-Verlag, 1999.
  2. B. G. Buchanan and E. H. Shortliffe. Rule-based expert systems: The MYCIN experiments of the Stanford Heuristic Programming Project, Addison-Wesley, Reading, MA, Menlo Park, CA, 1984.
  3. G. Klir amd B. Yuan, Fuzzy Sets and Fuzzy Logic: Theory and Applications, Prentice Hall, Upper Saddle River, New Jersey, 1995.
  4. H. T. Nguyen and E. A. Walker, A First Course in Fuzzy Logic, Chapman & Hall/CRC, Boca Raton, Florida, 2006.
  5. E. H. Shortliffe. Computer-based medical consultation: MYCIN, Elsevier, New York, 1976.
  6. E. Szmidt and J. Kacprzyk, "On measuring distances between intuitionistic fuzzy sets", Notes on Intuitionistic Fuzzy Sets, 1997, Vol. 3, No. 4, pp. 1-13.
  7. E. Szmidt and J. Kacprzyk, "Distances between intuitionistic fuzzy sets", Fuzzy Sets and Systems, 2000, Vol. 114, No. 3, pp. 505-518.
  8. E. Szmidt and J. Kacprzyk, "Entropy for intuitionistic fuzzy sets", Fuzzy Sets and Systems, 2001, Vol. 118, No. 3, pp. 467-477.
  9. E. Szmidt and J. Kacprzyk, "Distances between intuitionistic fuzzy sets: straightforward approaches may not work", Proceedings of the 3rd International IEEE Conference on Intelligent Systems IS'06, 2006, pp. 716-721.
  10. E. Szmidt and J. Kacprzyk, "Some problems with entropy measures for the Atanassov intuitionistic fuzzy sets", In: Applications of Fuzzy Sets Theory, Springer Lecture Notes in Artificial Intelligence, 2007, Vol. 4578, pp. 291-297.
  11. E. Szmidt and J. Kacprzyk, "A new similarity measure for intuitionistic fuzzy sets: straightforward approaches may not work", Proceedings of the 2007 IEEE International Conference on Fuzzy Systems, 2007, pp. 481-486.
  12. E. Szmidt and J. Kacprzyk, "Analysis of similarity measures for Atanassov's intuitionistic fuzzy sets", Proceedings of IFSA-EUSFLAT'09, pp. 1416-1421.
Citations:

The list of publications, citing this article may be empty or incomplete. If you can provide relevant data, please, write on the talk page.