Some Algebraic Characteristics of Bipolar-Valued Fuzzy Subgroups over a Certain Averaging Operator and Its Application in Multi-Criteria Decision Making

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Aqsa Zafar Abbasi, Ayesha Rafiq, Umar Ishtiaq, SanaUllah Saqib, Salvatore Sessa

Abstract

In this manuscript, we introduce the concepts of ψ-bipolar-valued fuzzy set (ψ-BVFS), ψ-bipolar-valued fuzzy normal subgroup (ψ-BVFNSG), cut sets Mψ(υ,χ)(Cυ,χMψ)) of ψ-BVFS and ψ-BVFSG, and bipolar-valued fuzzy cosets (BVF cosets). Further, we explore some algebraic properties of newly defined ψ-BVFSG. In addition, we present some new results of homomorphism and quotient group of ψ-BVFSG. At the end, we provide an application of ψ-BVFS in decision making by using topsis method.

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References

  1. L.A. Zadeh, Fuzzy Sets, Inf. Control. 8 (1965), 338–353. https://doi.org/10.1016/s0019-9958(65)90241-x.
  2. L.A. Zadeh, Probability Measures of Fuzzy Events, J. Math. Anal. Appl. 23 (1968), 421–427. https://doi.org/10.1016/0022-247x(68)90078-4.
  3. A. Rosenfeld, Fuzzy Groups, J. Math. Anal. Appl. 35 (1971), 512–517. https://doi.org/10.1016/0022-247x(71)90199-5.
  4. P.S. Das, Fuzzy Groups and Level Subgroups, J. Math. Anal. Appl. 84 (1981), 264–269. https://doi.org/10.1016/0022-247x(81)90164-5.
  5. N. Mukherjee, Fuzzy Normal Subgroups and Fuzzy Cosets, Inf. Sci. 34 (1984), 225–239. https://doi.org/10.1016/0020-0255(84)90050-1.
  6. K.T. Atanassov, Intuitionistic fuzzy sets, Fuzzy Sets Syst. 20 (1986), 87–96. https://doi.org/10.1016/s0165-0114(86)80034-3.
  7. R. Biswas, Intuitionistic Fuzzy Subgroups, Math. Forum. 10 (1989), 37–46.
  8. J.J. Buckley, Fuzzy Complex Numbers, Fuzzy Sets Syst. 33 (1989), 333–345. https://doi.org/10.1016/0165-0114(89)90122-x.
  9. W.R. Zhang, (Yin) (Yang) Bipolar Fuzzy Sets, in: 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228), IEEE, Anchorage, AK, USA, 1998: pp. 835–840. https://doi.org/10.1109/FUZZY.1998.687599.
  10. K.M. Lee, Bipolar-Valued Fuzzy Sets and Their Operations, in: Proc. Int. Conf. on Intelligent Technologies, Bangkok, Thailand, 2000, pp. 307–312.
  11. S. Manemaran, B. Chellappa, Structures on Bipolar Fuzzy Groups and Bipolar Fuzzy D-Ideals Under (T, S) Norms, Int. J. Comp. Appl. 9 (2010), 7–10.
  12. A.B. Saeid, M.K. Rafsanjani, Some Results in Bipolar-Valued Fuzzy BCK/BCI-Algebras, in: F. Zavoral, J. Yaghob, P. Pichappan, E. El-Qawasmeh (Eds.), Networked Digital Technologies, Springer Berlin Heidelberg, Berlin, Heidelberg, 2010: pp. 163–168. https://doi.org/10.1007/978-3-642-14292-5_18.
  13. A. Al-Husban, A. Amourah, J.J. Jaber, Bipolar Complex Fuzzy Sets and Their Properties, Italian J. Pure Appl. Math. 43 (2020), 754–761.
  14. D. Dubois, H. Prade, New Results about Properties and Semantics of Fuzzy Set-Theoretic Operators, in: P.P. Wang, S.K. Chang (Eds.), Fuzzy Sets, Springer US, Boston, MA, 1980: pp. 59–75. https://doi.org/10.1007/978-1-4684-3848-2_6.
  15. A. Capotorti, G. Figà-Talamanca, SMART-or and SMART-and Fuzzy Average Operators: A Generalized Proposal, Fuzzy Sets Syst. 395 (2020), 1–20. https://doi.org/10.1016/j.fss.2019.04.027.
  16. U. Shuaib, W. Asghar, Algebraic Properties of λ-Fuzzy Subgroups, Jordan J. Math. Stat. 12 (2019), 115–134.
  17. U. Shuaib, H. Alolaiyan, A. Razaq, S. Dilbar, F. Tahir, On Some Algebraic Aspects of η-Intuitionistic Fuzzy Subgroups, J. Taibah Univ. Sci. 14 (2020), 463–469. https://doi.org/10.1080/16583655.2020.1745491.
  18. D. Alghazzawi, U. Shuaib, T. Fatima, A. Razaq, M.A. Binyamin, Algebraic Characteristics of Anti-Intuitionistic Fuzzy Subgroups Over a Certain Averaging Operator, IEEE Access. 8 (2020), 205014–205021. https://doi.org/10.1109/access.2020.3035590.
  19. R.V. Rao, Decision Making in the Manufacturing Environment: Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods, Springer, 2007. https://doi.org/10.1007/978-1-84628-819-7.
  20. M. Riaz, S.T. Tehrim, Multi-Attribute Group Decision Making Based on Cubic Bipolar Fuzzy Information Using Averaging Aggregation Operators, J. Intell. Fuzzy Syst. 37 (2019), 2473–2494. https://doi.org/10.3233/jifs-182751.
  21. M. Akram, Shumaiza, M. Arshad, Bipolar fuzzy TOPSIS and Bipolar Fuzzy ELECTRE-I Methods to Diagnosis, Comp. Appl. Math. 39 (2019), 7. https://doi.org/10.1007/s40314-019-0980-8.
  22. T. Mahmood, S. Abdullah, M. Bilal, S. Rashid, Multiple Criteria Decision Making Based on Bipolar Valued Fuzzy Set, An.n Fuzzy Math. Inf. 11 (2016), 1003–1009.
  23. S. Abdullah, M. Aslam, K. Ullah, Bipolar Fuzzy Soft Sets and Its Applications in Decision Making Problem, J. Intell. Fuzzy Syst. 27 (2014), 729–742. https://doi.org/10.3233/ifs-131031.
  24. P. Dutta, D. Doley, Medical Diagnosis Under Uncertain Environment Through Bipolar-Valued Fuzzy Sets, in: M. Gupta, D. Konar, S. Bhattacharyya, S. Biswas (Eds.), Computer Vision and Machine Intelligence in Medical Image Analysis, Springer Singapore, Singapore, 2020: pp. 127–135. https://doi.org/10.1007/978-981-13-8798-2_13.
  25. S. Samanta, M. Pal, A. Pal, Some More Results on Bipolar Fuzzy Sets and Bipolar Fuzzy Intersection Graphs, J. Fuzzy Math. 22 (2014), 253–262.
  26. T. Mahmood, M. Munir, On Bipolar Fuzzy Subgroups, World Appl. Sci. J. 27 (2013), 1806–1811.
  27. M.A. Alghamdi, N.O. Alshehri, M. Akram, Multi-Criteria Decision-Making Methods in Bipolar Fuzzy Environment, Int. J. Fuzzy Syst. 20 (2018), 2057–2064. https://doi.org/10.1007/s40815-018-0499-y.
  28. M.S. Anitha, K.L.M. Prasad, K. Arjunan, Notes on Bipolar-Valued Fuzzy Subgroups of a Group, Bull. Soc. Math. Serv. Stand. 7 (2013), 40–45.