As of August 2024, International Journal "Notes on Intuitionistic Fuzzy Sets" is being indexed in Scopus.
Please check our Instructions to Authors and send your manuscripts to nifs.journal@gmail.com. Next issue: March 2025.

Issue:Similarity measures on cubic intuitionistic fuzzy sets

From Ifigenia, the wiki for intuitionistic fuzzy sets and generalized nets
Jump to navigation Jump to search
shortcut
http://ifigenia.org/wiki/issue:nifs/31/1/48-63
Title of paper: Similarity measures on cubic intuitionistic fuzzy sets
Author(s):
M. Priyadharshini     0000-0002-9667-0820
Department of Mathematics, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, Tamil Nadu, India
priyadharshini1501@gmail.com
D. Jayanthi     0000-0002-3066-1139
Department of Mathematics, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, Tamil Nadu, India
jeyanthi_mat@avinuty.ac.in
Published in: Notes on Intuitionistic Fuzzy Sets, Volume 31 (2025), Number 1, pages 48–63
DOI: https://doi.org/10.7546/nifs.2025.31.1.48-63
Download:  PDF (1012  Kb, File info)
Abstract: The primary objective of this study is to develop a similarity measure on cubic intuitionistic fuzzy sets. First, we have proposed a series of similarity measures on cubic intuitionistic fuzzy sets based on the geometric model, set-theoretic approach, and matching function. Additionally, examples are provided to demonstrate the effectiveness and importance of the proposed similarity measures. These examples address the decision-making problems based on the technique for order preference by similarity to an ideal solution (TOPSIS) method.
Keywords: Intuitionistic fuzzy set, Interval-valued intuitionistic fuzzy set, Cubic intuitionistic fuzzy set, Distance measure, Similarity measure.
AMS Classification: 03E72, 28E10, 94D05.
References:
  1. Atanassov, K. (1983). Intuitionistic fuzzy sets. VII ITKR’s Session, Sofia, June 1983. Deposed in Central Sci.-Techn. Library of Bulg. Acad. of Sci., 1697/84) (in Bulgarian). Reprinted: Int. J. Bioautomation, 2016, 20(S1), S1–S6.
  2. Atanassov, K. T. (1986). Intuitionistic fuzzy sets. Fuzzy Set and Systems, 20(1), 87–96.
  3. Atanassov, K., & Gargov, G. (1989). Interval-valued intuitionistic fuzzy sets. Fuzzy Sets and Systems, 31(3), 343–349.
  4. Chen, S. M. (1988). A new approach to handling fuzzy decision-making problems, IEEE Transactions on Systems. Man, and Cybernetics, 18(6), 1012–1016.
  5. Chen, S. M., Yeh, S. M., & Hsiao, P. H. (1995). A comparison of similarity measures of fuzzy values. Fuzzy Sets and Systems, 72(1), 79–89.
  6. Dengfeng, L., & Chuntian, C. (2002). New similarity measures of intuitionistic fuzzy sets and application to pattern recognitions, Pattern Recognition Letters, 23(1–3), 221–225.
  7. Faizi, S., Svitenko, H., Rashid, T., Zafar, S., & Sałabun, W. (2023). Some operations and properties of the cubic intuitionistic set with application in multi-criteria decision-making. Mathematics, 11(5), Article ID 1190.
  8. Garg, H., & Kaur, G. (2019). Cubic intuitionistic fuzzy sets and its fundamental properties. Journal of Multiple-Valued Logic and Soft Computing, 33(6), 507–537.
  9. Garg, H., & Kaur, G. (2019). TOPSIS based on nonlinear-programming methodology for solving decision-making problems under cubic intuitionistic fuzzy set environment. Computational and Applied Mathematics, 38, Article ID 114.
  10. Garg, H., & Kaur, G. (2020). Novel distance measures for cubic intuitionistic fuzzy sets and their applications to pattern recognitions and medical diagnosis. Granular Computing, 5, 169–184.
  11. Garg, H., & Kaur, G. (2020). Extended TOPSIS method for multi-criteria group decision-making problems under cubic intuitionistic fuzzy environment. Scientia Iranica E, 27(1), 396–410.
  12. Ghareeb, A., & Rida, S. Z. (2018). Image quality measures based on intuitionistic fuzzy similarity and inclusion measures. Journal of Intelligent and Fuzzy Systems, 34(6), 4057–4065.
  13. Gohain, B., Dutta, P., Gogoi, S., & Chutia, R. (2021). Construction and generation of distance and similarity measures for intuitionistic fuzzy sets and various applications. International Journal of Intelligent Systems, 36(12), 7805–7838.
  14. Hung, W. L., & Yang, M. S. (2008). On similarity measures between intuitionistic fuzzy sets. International Journal of Intelligent Systems, 23(3), 364–383.
  15. Hyung, L. K., Song Y. S., & Lee, K. M., (1994). Similarity measures between fuzzy sets and between elements. Fuzzy Sets and Systems, 62(3), 291–293.
  16. Jun, Y. B., Kim, C. S., & Yang, K. O. (2012) Cubic sets. Annals of Fuzzy Mathematics and Informatics, 4, 83–98.
  17. Kaur, G., & Garg, H. (2018). Cubic intuitionistic fuzzy aggregation operators. International Journal for Uncertainty Quantification, 8(5), 405–427.
  18. Liang, Z., & Shi, P. (2003). Similarity measures on intuitionistic fuzzy sets. Pattern Recognition Letters, 24(15), 2687–2693.
  19. Luo, L., & Ren, H. (2016). A new similarity measure of intuitionistic fuzzy set and application in MADM problem. AMSE Series Adv A, 59, 204–223.
  20. Mohamed, S. S., Abdalla, A., & John, R. I. (2019). New entropy-based similarity measure between interval-valued intuitionistic fuzzy sets. Axioms, 8(2), 73, 1–11.
  21. Patel, A., Jana, S., & Mahanta, J. (2024). Construction of similarity measure for intuitionistic fuzzy sets and its application in face recognition and software quality evaluation. Expert Systems with Applications, 237, Article ID 121491.
  22. Priyadharshini, M., Jayanthi, D., & Gajalaxmi, P. Similarity measure on cubic intuitionistic fuzzy sets and its relationship with entropy measure. Turkish World Mathematical Society Journal of Applied and Engineering Mathematics (Accepted).
  23. Singh, A., & Kumar, S. (2020). A novel dice similarity measure for IFSs and its applications in pattern and face recognition. Expert Systems with Applications, 149, Article ID 113245 (10 pages).
  24. Song, Y., Wang, X., Quan, W., & Huang, W. (2019). A new approach to construct similarity measure for intuitionistic fuzzy sets. Soft Computing, 23(6), 1985–1998.
  25. Sun, M., & Liu, J. (2012). New entropy and similarity measures for interval-valued intuitionistic fuzzy sets. Journal of Information & Computational Science, 9(18), 5799–5806.
  26. Talukdar, P., & Dutta, P. (2023). An advanced entropy measure of IFSs via similarity measure. International Journal of Fuzzy System Applications, 12(1), 1–23. DOI: 10.4018/IJFSA.319712
  27. Wang, W. J. (1997). New similarity measures on fuzzy sets and on elements. Fuzzy Sets and Systems, 85(3), 305–309.
  28. Wang, X. Z., De Baets, B., & Kerre, E. (1995). A comparative study of similarity measures. Fuzzy Sets and Systems, 73(2), 259–268.
  29. Wei, C. P., Wang, P., & Zhang, Y. Z. (2011). Entropy, similarity measure of interval-valued intuitionistic fuzzy sets and their applications. Information Sciences, 181(19), 4273–4286.
  30. Wu, C., Luo, P., Li, Y., & Ren, X. (2014). A new similarity measure of interval‐valued intuitionistic fuzzy sets considering its hesitancy degree and applications in expert systems. Mathematical Problems in Engineering, 2014, Article ID 359214 (16 pages).
  31. Xia, M., & Xu, Z. (2010). Some new similarity measures for intuitionistic fuzzy values and their application in group decision making. Journal of Systems Science and Systems Engineering, 19(4), 430–452.
  32. Xu, Z. (2007). Some similarity measures of intuitionistic fuzzy sets and their application to multiple attribute decision making. Fuzzy Optimization and Decision Making, 6(2), 109–121.
  33. Xu, Z. S., & Chen, J. (2008). An overview of distance and similarity measures of intuitionistic fuzzy sets. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 16(04), 529–555.
  34. Xuecheng, L. (1992). Entropy, distance measure and similarity measure of fuzzy sets and their relations. Fuzzy Sets and Systems, 52(3), 305–318.
  35. Ye, J. (2013). Interval-valued intuitionistic fuzzy cosine similarity measures for multiple attribute decision-making. International Journal of General Systems, 42(8), 883–891.
  36. Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8, 338–353.
  37. Zwick, R., Carlstein, E., & Budescu D. V. (1987). Measures of similarity among fuzzy concepts: A comparative analysis. International Journal of Approximate Reasoning, 1(2), 221–242.
Citations:

The list of publications, citing this article may be empty or incomplete. If you can provide relevant data, please, write on the talk page.