New Normal Parameter Reduction Method in Fuzzy Soft Set Theory

Abstract

Soft set theory is a good tool to deal with uncertain problems. The study of reduction problem is an important part of soft set theory. Different decision-making criteria lead to different reduction methods. In this paper, the problem of parameter reduction of soft sets is studied based on the score decision criteria. Four cases of dispensable sets are discussed in parameter reduction. Then, a newly parameter reduction method is proposed. Finally, a comparison is shown between the new proposed parameter reduction method and the previous parameter reduction method based on the choice value decision criteria, and remarks are given.

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