Fuzzy Soft Relative Method and its Application in Decision Making Problem

Fuzzy Soft Relative Method and its Application in Decision Making Problem

Authors

  • Muhammad Saeed Department of Mathematics, School of Science, University of Management and Technology C-II, Johar Town, Lahore, Pakistan
  • Usman Ali Department of Mathematics, School of Science, University of Management and Technology C-II, Johar Town, Lahore, Pakistan
  • Javaid Ali Department of Mathematics, School of Science, University of Management and Technology C-II, Johar Town, Lahore, Pakistan
  • Fazal Dayan Department of Mathematics, School of Science, University of Management and Technology C-II, Johar Town, Lahore, Pakistan

Keywords:

Soft Sets, Fuzzy Sets, Fuzzy Soft Sets, FS-Relative Method

Abstract

In day to day problems, so many situations are faced which are full of dissatisfaction and uncertainties. Fuzzy soft set theory has evolved as an effective decision making tool to cope with problems with uncertainties. This work develops a new technique, Fuzzy Soft relative (FS-relative) method for solving such problems. Underlying concept is inspired from fuzzy soft set aggregate approach. We find maximal set and apply it to FS-set to get a relative set which contains relative fuzzy approximation functions values. Then FS-relative operator is generated and the values are applied with maximal set by FS-relative operator to get a single relative fuzzy set. The proposed FS-relative method has been effectively applied to find the optimum solution for selecting the best teacher in a High School according to the teacher specific characteristics.

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Published

2021-03-15

How to Cite

Saeed, M., Ali, U., Ali, J., & Dayan, F. (2021). Fuzzy Soft Relative Method and its Application in Decision Making Problem: Fuzzy Soft Relative Method and its Application in Decision Making Problem. Proceedings of the Pakistan Academy of Sciences: A. Physical and Computational Sciences, 57(1), 21–30. Retrieved from http://ppaspk.org/index.php/PPAS-A/article/view/48

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