# The Parameters Reduction Algorithm and the Application in Decision-Making Based on the Bijective Soft Set

• Bin Miao
• Wei Wei
• Tao Zhang
Chapter
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 133)

## 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.

## Keywords

Bijective Soft Set Discernible Matrix Parameter Reduction Weight

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© Springer-Verlag GmbH Berlin Heidelberg 2012

## Authors and Affiliations

• Bin Miao
• 1
• Wei Wei
• 1
• Tao Zhang
• 2
1. 1.Faculty of Management and EconomicsKunming University of Science and TechnologyKunmingChina
2. 2.Faculty of Economics and ManagementYunnan Agricultural UniversityKunmingChina