Abstract
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.
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Miao, B., Wei, W., Zhang, T. (2012). The Parameters Reduction Algorithm and the Application in Decision-Making Based on the Bijective Soft Set. In: Sambath, S., Zhu, E. (eds) Frontiers in Computer Education. Advances in Intelligent and Soft Computing, vol 133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27552-4_61
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DOI: https://doi.org/10.1007/978-3-642-27552-4_61
Publisher Name: Springer, Berlin, Heidelberg
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