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Energy parameters reduction of bijective soft set based on the significance

机译:基于显着性的双射软集能量参数约简

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摘要

Soft set theory is a newly emerging tool to deal with uncertain problems. Bijective soft set is a branch of the soft set. Energy parameter reduction is an important step in knowledge discovery of soft set theory. This paper presents a new parameters reduction method based on the significance of parameters. The new algorithm begins with the energy parameter significance, adopting iterative feature selection and get the reduction of the condition parameters finally .And the method is compared with the results of the other reduction methods to prove it's feasibility and effectiveness.
机译:软集合理论是一种处理不确定性问题的新兴工具。双射软集合是软集合的一个分支。减少能量参数是软集理论知识发现中的重要步骤。本文提出了一种基于参数意义的新的参数约简方法。新算法从能量参数的意义开始,采用迭代特征选择,最终得到条件参数的约简,并将该方法与其他约简方法的结果进行比较,证明其可行性和有效性。

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