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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
Presented at: Proceedings of the 27th International Conference on Intuitionistic Fuzzy Sets, 5–6 July 2024, Burgas, Bulgaria
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, 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:
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  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.
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  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.
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  12. Szmidt, E., & Kacprzyk, J. (2001). Entropy for intuitionistic fuzzy sets. Fuzzy Sets and Systems, 118, 467–477.
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