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Issue:Two de-I-fuzzification procedures for intuitionistic fuzzy information

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Title of paper: Two de-I-fuzzification procedures for intuitionistic fuzzy information
Author(s):
Vasile Patrascu
Research Center in Electrical Engineering, Electronics and Information Technology, Valahia University of Targoviste, 13 Aleea Sinaia Street, 130004 Targoviste, Romania
patrascu.v@gmail.com
Published in: Notes on Intuitionistic Fuzzy Sets, Volume 30 (2024), Number 1, pages 18–25
DOI: https://doi.org/10.7546/nifs.2024.30.1.18-25
Download:  PDF (193  Kb, File info)
Abstract: In this paper, two procedures are proposed that transform intuitionistic fuzzy information into fuzzy information. Using the results obtained with the de-I-fuzzification procedures, formulas for intuitionistic fuzzy entropy are constructed.
Keywords: Fuzzy information, Intuitionistic fuzzy information, De-I-fuzzification, Entropy.
AMS Classification: 03E72.
References:
  1. Ansari, A. Q., Philip, J., Siddiqui, S. A., & Alvi, J. A. (2010). Fuzzification of Intuitionistic Fuzzy Sets. International Journal of Computational Cognition, 8(3), 90–91.
  2. Atanassov, K. (2012). On Intuitionistic Fuzzy Sets Theory. Springer, Berlin.
  3. Atanassova, L. C. (2023). Three de-intuitionistic fuzzification procedures over circular intuitionistic fuzzy sets. Notes on Intuitionistic Fuzzy Sets, 29(3), 292–297.
  4. Atanassova, V., & Sotirov, S. (2012). A new formula for de-i-fuzzification of intuitionistic fuzzy sets. Notes on Intuitionistic Fuzzy Sets, 18(3), 49–61.
  5. Ban, A., Kacprzyk, J., & Atanassov, K. (2008). On de-I-fuzzification of intuitionistic fuzzy sets. Comptes Rendus de l’Academie bulgare des Sciences, 61(12), 1535–1540.
  6. De Luca, A., & Termini, S. (1972). A definition of a nonprobabilistic entropy in the setting of fuzzy sets theory. Information and Control, 20, 301–312.
  7. Kaufmann, A. (1975). Introduction to the Theory of Fuzzy Subsets, Vol. I. Academic Press, New York.
  8. Kosko, B. (1986). Fuzzy entropy and conditioning. Information Sciences, 40, 165–174.
  9. Patrascu, V. (2012). Fuzzy Membership Function Construction Based on Multi-Valued Evaluation. Uncertainty Modeling in Knowledge Engineering and Decision Making, World Scientific Press, 756–761.
  10. Patrascu. V. (2018). Shannon entropy for intuitionistic fuzzy information. Preprint. ArXiV. https://doi.org/10.48550/arXiv.1807.01747.
  11. Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27(3), 379–423.
  12. Szmidt, E., & Kacprzyk, J. (2001). Entropy for intuitionistic fuzzy sets. Fuzzy Sets and Systems, 118, 467–477.
  13. Van Leekwijck, W., & Kerre. E. E. (1999). Defuzzification: Criteria and classification. Fuzzy Sets and Systems, 108(2), 159–178.
  14. Zadeh, L. (1965). Fuzzy sets. Information and Control, 8, 338–353.
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