A New Reduction Method Keeping Constant Rank for Fuzzy Soft Sets

Abstract

The model of fuzzy soft set is increasingly applied to deal with uncertainty. This paper mainly introduces a new parameter reduction method keeping constant rank for fuzzy soft sets. After parameter reduction, this method guarantees that the final ranking results are in the same order as the original data sets. Finally, we draw a conclusion that the proposed algorithm is efficient.