A Survey on Fuzzy Soft Set-Based Decision Making and Parameter Reduction

Abstract

The soft set theory, defined by Molodtsov, as a general mathematical instrument is used to handle uncertainty, imprecise and vagueness. However, the problem of solving uncertainty has become more and more complicated in the real world, so that it is hard to work them out with a haploid rational instrument. Therefore, soft sets were extended to fuzzy soft sets by some authors who have studied this area in depth. Later, Some famous researchers summarized the conception of the fuzzy soft set. What is known to us is that it plays an increasingly significant part in solving the uncertainty and inaccuracy of data sets and has become an indispensable part of existing theories. Here, we give a survey about various decision making methods and parameter parameter of fuzzy soft sets in this field and sententiously summarize some related applications. Finally, we hope that through our survey we can help researchers focus on developing more general methods in this direction.