The Parameters Reduction Algorithm and the Application in Decision-Making Based on the Bijective Soft Set
Bijective soft set theory is a new mathematical tool to solve the uncertain problems, which is a branch of the soft set. Base on other scholars’ research, this paper do a further study. Firstly, this paper reviewed the related theories including definition, operation and applications of the bijective soft set. Secondly, the paper gives out the discernible matrix parameters reduction algorithm in application part. Finally, the weight calculation method is given base on dependency and importance degree between two bijective soft sets, at the same time, the paper do a application case study.
KeywordsBijective Soft Set Discernible Matrix Parameter Reduction Weight
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- 6.Pawlak, Z.: Rought sets: Theoretical aspects of reasoning about data. Kluwer Academic Publishers (1991)Google Scholar
- 11.Xiao, Z., Gong, K., Li, D.: The Parameter Reduction based on the Bijective Soft Decision system. System Engineering Theory and Practice 31, 308–314 (2011)Google Scholar