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.
Muhammad Saeed, Usman Ali, Javaid Ali, Fazal Dayan. (2020) Fuzzy Soft Relative Method and its Application in Decision Making Problem , , PROC. OF THE PAS: A; 57, Issue 1.
