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Issue:Miltiplicatively equivalent intuitionistic fuzzy sets

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Title of paper: Miltiplicatively equivalent intuitionistic fuzzy sets
Author(s):
Peter Vassilev
Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 105 Acad. George Bonchev St., Sofia, Bulgaria
peter.vassilev@gmail.com
Lyudmila Todorova
Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 105 Acad. George Bonchev St., Sofia, Bulgaria
lpt@biomed.bas.bg
Published in: Notes on Intuitionistic Fuzzy Sets, Volume 25 (2019), Number 2, pages 25–28
DOI: https://doi.org/10.7546/nifs.2019.25.2.25-28
Download:  PDF (135  Kb, File info)
Abstract: In this paper, we propose the concept of multiplicative equivalence of two intuitionistic fuzzy sets. We also consider some other possible equivalence relations.
Keywords: Intuitionistic fuzzy set, Multiplicative equivalence, Relation..
AMS Classification: 03E72
References:
  1. Atanassov, K. T. (1983). Intuitionistic Fuzzy Sets, VII ITKR Session, Sofia, 20-23 June 1983 (Deposed in Centr. Sci.-Techn. Library of the Bulg. Acad. of Sci., 1697/84) (in Bulgarian). Reprinted: Int. J. Bioautomation, 2016, 20 (S1), S1–S6 (in English).
  2. Atanassov, K. (1999). Intuitionistic Fuzzy Sets: Theory and Applications, Physica-Verlag, Heidelberg.
  3. Atanassov, K. (2012). On Intuitionistic Fuzzy Sets Theory, Springer, Berlin.
  4. Atanassova, V. (2017) New Modified Level Operator N Over Intuitionistic Fuzzy Sets. Proc. of 12th International Conference on Flexible Query Answering Systems (FQAS 2017), London, UK, June 21-22, 2017, 209–214.
  5. Vassilev, P., & Stoyanov, T. (2014) Note on isohesitant intuitionistic fuzzy sets. Proc. of the 18thInternationalConferenceonIntuitionistic Fuzzy Sets, 10-11 May 2014, Sofia, Bulgaria, 27–30
  6. Vassilev, P., Todorova, L. & Kosev, K. (2014). Note on the (µ,ν)-coherence relation, defined over intuitionistic fuzzy sets. Proc. of 10th Int. Workshop on Intuitionistic Fuzzy Sets, Banská Bystrica, 29 Sept. 2014, 7–9.
  7. Zadeh, L. A. (1965). Fuzzy sets. Information and control. 8 (3), 338–353.
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