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Issue:Inclusion measure for intuitionistic fuzzy sets and embedding of intervals

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Title of paper: Inclusion measure for intuitionistic fuzzy sets and embedding of intervals
Author(s):
Michaela Bruteničová
Department of Mathematics, University of Matej Bel, Tajovského 40, Banská Bystrica, Slovakia
michaela.brutenicova@umb.sk
Vladimír Janiš
Department of Mathematics, University of Matej Bel, Tajovského 40, Banská Bystrica, Slovakia
vladimir.janis@umb.sk
Published in: Notes on Intuitionistic Fuzzy Sets, Volume 30 (2024), Number 4, pages 323–332
DOI: https://doi.org/10.7546/nifs.2024.30.4.323-332
Download:  PDF (292  Kb, File info)
Abstract: Comparison of measuring the degree of inclusion for two intuitionistic fuzzy sets (IF-sets) and measuring the degree of embedding of two intervals is considered. Embedding is understood as the classical inclusion of intervals. Inclusion of IF-sets is based on a specific order. In case that the nonmebership function does not exceed the membership function in an IF set, and we replace formally the IF-set by an interval-valued fuzzy set, then the inclusion of IF-sets corresponds to an embedding of interval-valued sets. The embedding measure for interval-valued fuzzy sets was defined previously and we compare the concept of embedding with the inclusion of IF-sets.
Keywords: Inclusion measure, Embedding measure, Intuitionistic fuzzy sets.
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 in: Int. J. Bioautomation, 2016, 20(S1), S1–S6. (in English).
  2. Atanassov, K. T. (2012). On Intuitionistic Fuzzy Sets Theory. Studies in Fuzziness and Soft Computing 283, Springer-Verlag Berlin Heidelberg, 2012.
  3. Atanassov. K.,& Gargov, G. (1989). Interval valued intuitionistic fuzzy sets. Fuzzy Sets and Systems, 31(3), 343–349.
  4. Bouchet, A., Sesma-Sara, M., Ochoa, G., Bustince, H., Montes., S, & D´ıaz, I. (2023). Measures of embedding for interval-valued fuzzy sets. Fuzzy Sets and Systems, 467, 108505.
  5. Cornelis, C., & Kerre, E. (2003). Inclusion Measures in Intuitionistic Fuzzy Set Theory. In: Nielsen, T. D., & Zhang, N. L. (Eds.). ECSQARU 2003, LNAI 2711, pp. 345–356. Berlin, Springer.
  6. Deschrijver, G., & Kerre, E. (2003). On the relationship between some extensions of fuzzy set theory. Fuzzy Sets and Systems, 133, 227–235.
  7. Goguen, J. A. (1967). L-fuzzy sets. Journal of Mathematical Analysis and Applications, 18(1), 145–174.
  8. Grattan-Guinness, I. (1976). Fuzzy memebership mapped onto interval and many-valued quantities. Mathematical Logic Quarterly, 22, 149–160.
  9. Grzegorzewski, P. (2011). On possible and necessary inclusion of intuitionistic fuzzy sets. Information Sciences, 181, 342–350.
  10. Jahn, K.-U. (1975). Intervall-wertige Mengen. Mathematische Nachrichten, 68, 115–132.
  11. Kitainik, L. (1987). Fuzzy inclusions and fuzzy dichotomous decision procedures. In: Kacprzyk, J., & Orlovski, S. A. (Eds.). Optimization Models Using Fuzzy Sets and Possibility Theory, Springer Netherlands, Dordrecht, 154-170.
  12. Sambuc, R. (1975). Fonctions ϕ-floues: Application a l’aide au diagnostic en pathologie thyroidienne. Ph.D. Thesis, University of Marseille, France.
  13. Sinha, D., & Dougherty, E. R. (1993) Fuzzification of set inclusion: Theory and applications. Fuzzy Sets and Systems, 55, 15–42.
  14. Vlachos, I. K., & Sergiadis, G. D. (2007). Subsethood, entropy, and cardinality for interval-valued fuzzy sets - An algebraic derivation. Fuzzy Sets and Systems, 158, 1384–1396.
  15. Xie, B., Han, L-W., & Mi, J.-S. (2009). Inclusion measure and similarity measure of intuitionistic fuzzy sets. Proceedings of Eighth International Conference on Machine Learning and Cybernetics, 12-15 July 2009, Baoding, China, 700–705.
  16. Young, V. R. (1996). Fuzzy subsethood. Fuzzy Sets and Systems, 77, 371–384.
  17. Yu, C., & Luo, Y. (2008). A fuzzy optimization method for multi-criteria decision-making problem based on the inclusion degrees of intuitionistic fuzzy sets. In: Huang, D. S., Wunsch, D. C., Levine, D. S., & Jo, K. H. (Eds.). Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2008. Lecture Notes in Computer Science, Vol. 5227, pp. 332–339. Springer, Berlin, Heidelberg.
  18. Zadeh, L. (1965). Fuzzy sets. Information and Control, 8(3), 338–353.
  19. Zadeh, L. (1975). The concept of a linguistic variable and its application to approximate reasoning I. Information Sciences, 8, 199–249.
  20. Zhang, H., Dong, M., Zhang, W., & Song, X. (2007). Inclusion measure and similarity measure of intuitionistic and interval-valued fuzzy sets. Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007), 15-16 October 2007, Chengdu, P.R. China
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