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A New Criterion for Attribute Reduction based on Variable Precision Rough Set Model

机译:基于可变精度粗糙集模型的属性约简新准则

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The rule set which is acquired based on rough set theory can be classified into two categories:deterministic rules and probabilistic rules.Traditional attribute reduction definitions in variable precision rough set model cannot guarantee the rule properties,namely deterministic or probabilistic.In this paper,a new criterion for attribute reduction is put forward based on variable precision rough set model.The rule properties can be preserved during the process of attribute reduction.The relationships between the new reduct definition and available definitions,including Ziarko's reduct definition and β lower distribution reduct definition are also discussed.
机译:基于粗糙集理论获得的规则集可分为两类:确定性规则和概率规则。可变精度粗糙集模型中的传统属性约简定义不能保证规则属性,即确定性或概率性。提出了基于变精度粗糙集模型的属性约简新准则。在属性约简过程中可以保留规则属性。新约简定义与可用定义之间的关系,包括齐亚科的约简定义和β下分布约简定义也进行了讨论。

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