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Issue:On intuitionistic fuzzy implications: Difference between revisions

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  | issue          = [[Notes on Intuitionistic Fuzzy Sets/23/5|"Notes on IFS", Volume 23, 2017, Number 5]], pages 7—19
  | issue          = [[Notes on Intuitionistic Fuzzy Sets/23/5|"Notes on Intuitionistic Fuzzy Sets", Volume 23, 2017, Number 5]], pages 7—19
  | file            = NIFS-23-5-007-019.pdf
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Latest revision as of 11:01, 29 August 2024

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Title of paper: On intuitionistic fuzzy implications
Author(s):
I. Bakhadach
Laboratoire de Mathématiques Appliquées & Calcul Scientifique, Sultan Moulay Slimane University, PO Box 523, 23000 Beni Mellal Morocco
Said Melliani
Laboratoire de Mathématiques Appliquées & Calcul Scientifique, Sultan Moulay Slimane University, PO Box 523, 23000 Beni Mellal Morocco
said.melliani@gmail.com
Lalla Saadia Chadli
Laboratoire de Mathématiques Appliquées & Calcul Scientifique, Sultan Moulay Slimane University, PO Box 523, 23000 Beni Mellal Morocco
Published in: "Notes on Intuitionistic Fuzzy Sets", Volume 23, 2017, Number 5, pages 7—19
Download:  PDF (247 Kb  Kb, File info)
Abstract: In this paper we conduct a systematic algebraic study on the set I of all intuitionistic fuzzy implications. To this end, we propose a binary operation, denoted by ✱, which makes a (I, ✱) a monoid. We determine the largest subgroup K of this monoid and using its representation define a group action of K that partitions I into equivalence classes. Also we give novel way of generating newer fuzzy implications from given ones by a bijective transformations.
Keywords: Intuitionistic fuzzy implication, Group action, Bijective transformation.
AMS Classification: 03E72.
References:
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  2. Atanassov, K. (1986) Intuitionistic fuzzy sets, Fuzzy Sets and Systems, 20(1), 87–96.
  3. Atanassov, K. T., & Gargov, G. (1998) Elements of intuitionistic fuzzy logic, Part I, Fuzzy Sets and Systems, 95, 39–52.
  4. Cornelis, C., Deschrijver, G. & Kerre, E. E. (2002) Classification of intuitionistic fuzzy implicators: an algebraic approach, Proceedings of the 6th Joint Conference on Information Sciences, Durham, North Carolina, 105–108.
  5. Cornelis, C., Deschrijver, G. & Kerre, E. E. (2002) Intuitionistic fuzzy connectives revisited, Proceedings of IPMU’02, 1–5 July 2002, 1839–1844.
  6. Mordeson, et al (2003) Fuzzy semigroups, Springer-Verlag, Heidelberg.
  7. Szmidt, E., & Kacprzyk, J. (2001) Intuitionistic fuzzy sets in some medical applications, B. Reusch: Fuzzy Days’2001, 148–151.
  8. Szmidt, E., & Kacprzyk, J. (2004) A similarity measure for intuitionistic fuzzy sets and its application in supporting medical diagnostic reasoning, L. Rutkowski et al. (Eds.): Proceedings of ICAISC’2004, 388–393.
  9. Szmidt, E., & Kacprzyk, J. (2001) Intuitionistic fuzzy sets in intelligent data analysis for medical diagnosis, V.N. Alexandrov et al. (Eds.): Proceedings of ICCS’2001, 263–271.
  10. Zadeh, L. A. (1973) Outline of a new approach to the analysis of complex systems and decision processes, IEEE Trans. Systems Man and Cybernetics, 3(1), 28–44.
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