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A New Parameter Reduction Method Based on Soft Set Theory

초록

영어

In order to solve the problems of large calculation and low efficiency of parameter reduction, a new parameter reduction method based on soft set theory is proposed. According to the importance degrees of parameters, this new parameter reduction method simplifies the reduction complexity brought by the equivalent classes in discernibility matrix, so that it not only improves the parameter reduction efficiency and quality, but also reduces the reduction complexity. Finally, comparing with other reduction methods, this new parameter reduction method based on soft set theory not only possesses feasibility and high efficiency, but also can make the reduction result more accurate.

목차

Abstract
 1. Introduction
 2. Relationship between Soft Set and Information System
 3. Parameter Reduction Method Based on Soft Set Theory
  3.1. Overview of Parameter Reduction
  3.2. Determination of Importance Degrees of Parameters Based on Discernibility Matrix
  3.3. Reduction Method Based on Importance Degrees of Parameters
 4. Example Analysis
 5. Conclusions
 References

저자정보

  • Qiwen Zhang School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China
  • Xueqin Wang School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China

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