Parameter Reduction Method for Pythagorean Fuzzy Soft Sets

Year 2020, , 33 - 37, 25.03.2020

Murat Kirisci

https://doi.org/10.32323/ujma.615166

Cited By: 1

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.

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