限制容差关系的不完备可变粗糙集

Incomplete variable rough set of limited tolerance relation

针对不完备信息决策系统中信息引起的不相容性的问题,引进包含度,提出基于限制容差关系的可变粗糙集模型,并研究其相关性质.通过对限制容差关系的可变粗糙集模型和限制容差关系粗的糙集模型对比分析,结果表明:限制容差关系的可变粗糙集模型拥有更高的粗糙近似分类精度和粗糙近似分类似质量,通过实例说明该理论是可行的.

Incomplete information for decision-making system incompatibility problems caused by information, the introduction of inclusion degree was proposed based on rough set model variable limited tolerance relation and its related properties were studied. This paper performed the comparison of the model followed by limited tolerance relation variable rough set model and the relationship between tolerance limit rough set analysis. The results show that the limited tolerance relation variable rough set model has a higher classification accuracy rough approximation and rough approximation like quality classification. An example illustrates that the theory is feasible.