Parameter Reduction Method for Pythagorean Fuzzy Soft Sets

Authors : Murat Kirisci

Pages : 33-37

Doi:10.32323/ujma.615166

View : 14 | Download : 11

Publication Date : 2020-03-25

Article Type : Research

Abstract :The aim of this paper is to give new parameter reduction methods according to Pythagorean fuzzy soft sets. The reason for the definition of these methods is to help decision-makers facilitate their decision-making processes. The algorithm of the first method defined is related to the selection of some parameters. The second method determines the parameters with less deviation than the other parameters. Further, numerical examples related to the new algorithms are examined.
Keywords : Parameter reduction, Pythagorean fuzzy soft set.