Research on Difference-based Parameter Reduction Method for Soft Sets
Soft set theory is a mathematical tool for dealing with uncertainty and is often used to solve deci-sion-making problems.In the decision making process,there is often a large amount of redundant information,through the parameter reduction can remove the redundant information in soft sets and keep the decision making results unchanged,thus improving the decision making efficiency.However,the existing normal parameter re-duction algorithms have low applicability due to the restriction of the strict reduction conditions,and the reduc-tion results can not completely reflect all the redundant information.To address these problems,a more flexible concept of parameter reduction in soft sets is proposed,and based on the proposed concept,a difference-based parameter reduction algorithm for soft sets is designed.It is illustrated through examples that the algorithm not on-ly has a wide range of application,but also can remove more redundant information and keep the decision making results unchanged.