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:Entropy for intuitionistic fuzzy set theory and mass assignment theory

From Ifigenia, the wiki for intuitionistic fuzzy sets and generalized nets
Revision as of 14:54, 4 August 2012 by Vassia Atanassova (talk | contribs) (New page: {{PAGENAME}} {{PAGENAME}} {{PAGENAME}} {{issue/title...)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search
shortcut
http://ifigenia.org/wiki/issue:nifs/10/3/15-28
Title of paper: Entropy for intuitionistic fuzzy set theory and mass assignment theory
Author(s):
Eulalia Szmidt
Systems Research Institute, Polish Academy of Sciences, nl. Newelska 6, 01-447 Warsaw, Poland
szmidt@ibspan.waw.pl
Jim Baldwin
Department of Engineering Mathematics, University of Bristol, Bristol BS8 1TR, England
Jim.Baldwin@bristol.ac.uk
Presented at: 8th International Conference on Intuitionistic Fuzzy Sets, Varna, 20-21 June 2004
Published in: "Notes on IFS", Volume 10 (2004) Number 3, pages 15—28
Download:  PDF (856  Kb, File info)
Abstract: In this article we remind parallels for intuitionistic fuzzy sets and mass assignment theory, and propose a non-probabilistic-type entropy measure for both of them. The proposed measure is a result of a common geometric interpretation valid for these theories, and uses a ratio of distances between considering elements/support pairs and crisp elements. It is also shown that the proposed measure can be defined in terms of the ratio of cardinalities: of X ⋂ Xc and X ⋃ Xc.
Keywords: intuitionistic fuzzy sets, mass assignment theory, entropy
References:
  1. Atanassov K. (1986), Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 20, 87-96.
  2. Atanassov K. (1999), Intuitionistic Fuzzy Sets: Theory and Applications. Springer-Verlag.
  3. Baldwin. J.F. (1991), Combining Evidences for Evidential Reasoning. International Journal of Intelligent Systems, 6, 569-616.
  4. Baldwin J.F. (1992), Fuzzy and Probabilistic Uncertainties in Encyclopaedia of AI (ed. S.A. Shapiro), John Wiley, 528-537.
  5. Baldwin J.F. (1994), Mass assignments and fuzzy sets for fuzzy databases. In. Advances in the Dempster-Shafer theory of evidence. Ed. R. Yager at al. John Wiley, 577-594.
  6. Baldwin J.F., Pilswoith BW. (1990), Semantic Unification with Fuzzy Concepts in Fril. IPMU'90, Paris.
  7. Baldwin J.F., T.P. Martin, B.W. Pilswoith (1995) FRIL - Fuzzy and Evidential Reasoning in Artificial Intelligence. John Wiley.
  8. Baldwin J.F., Lawry J., Martin T.P.(1995a), A Mass Assignment Theory of the Probability of Fuzzy Events. ITRC Report 229, University of Bristol, UK.
  9. Baldwin J.F., Coyne M.R., Martin T.P.(1995b), Intelligent Reasoning Using General Knowledge to Update Specific Information: A Database Approach. Journal of Intelligent Information Systems, 4, 281-304.
  10. Baldwin J.F., T.P. Martin T.P. (1995c), Extracting Knowledge from Incomplete Databases using the Fril Data Browser. EUFIT'95, Aachen, 111-115.
  11. Baldwin J.F., T.P. Martin (1996), FRIL as an Implementation Language for Fuzzy Information Systems. IPMU'96, Granada, 289-294.
  12. Ban A. (2000) Measurable entropy on intuitionistic fuzzy dynamical system. Notes on IFS, 6, No.4, 35-47.
  13. Burillo P. and Bustince H. (1996) - Entropy on intuitionistic fuzzy sets and on interval-valued fuzzy sets. Fuzzy Sets and Systems, 78, 305-316.
  14. Cornelis Ch. and Kerre E. (2003). Inclusion measures in intuitionistic fuzzy set theory. Proc. ECSQARU-2003. Lecture Notes in AI, 2711, 345-356.
  15. De Luca, A. and Termini, S. (1972). A definition of a non-probabilistic entropy in the setting of fuzzy sets theory. Inform,. And Control, 20, 301-312.
  16. Jaynes E.T. (1979) - Where do we stand on maximum entropy? In: The Maximum Entropy Formalism, ed. By Levine and Tribus, MIT Press, Cambridge Mass.
  17. Kaufmann A. (1975) - Introduction to the Theory of Fuzzy Subsets - Vol.1: Fundamental Theoretical Elements. Academic Press, New York.
  18. Klir G.J. and Wierman M.J. (1997) - Uncertainty - Based Information Elements of Generalized Information Theory. Lecture Notes in Fuzzy Mathematics and Computer Science, 3, Creighton University, Omaha, Nebraska 68178 USA.
  19. Kosko B. (1997) - Fuzzy Engineering. Prentice-Hall.
  20. Szmidt E. (2000) Applications of Intuitionistic Fuzzy Sets in Decision Making. (D.Sc. dissertation) Techn. Univ., Sofia, 2000.
  21. Szmidt E. and Baldwin J. (2003) New Similarity Measure for Intuitionistic Fuzzy Set Theory and Mass Assignment Theory. Notes on IFS, 9, No.3, 60-76.
  22. Szmidt E. and Kacprzyk J. (1999). Probability of intuitionistic fuzzy events and their applications in decision making. Proc. of EUSFLAT-ESTYLF Conf. 1999. Palma de Mallorca, 457-460.
  23. Szmidt E. and Kacprzyk J. (2000) Distances between intuitionistic fuzzy sets, Fuzzy Sets and Systems, 114, No.3, 505 - 518.
  24. Szmidt E., Kacprzyk J. (2001) Entropy for intuitionistic fuzzy sets. Fuzzy Sets and Systems, 118, No. 3, 467-477.
  25. Yager R. R. (1979) - On the measure of fuzziness and negation. Part I: Membership in the unit interval. Internat. J. Gen. Systems, Vol. 5, 189-200.
  26. L.A. Zadeh (1965) Fuzzy sets. Information and Control, 8, 338-353.
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.