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.