相容关系的改进及其属性约简
Improved Tolerance Relation and Attribute Reduction
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摘要: 针对经典粗糙集理论处理不完备信息系统存在的局限性,作者从扩展粗糙集理论的适用范围出发,引入不完备信息系统对象的先验概率并结合量化相容关系的思想,提出了改进的相容关系模型. 以该模型为基础研究了不完备信息系统的属性约简. 通过严格的数学证明,给出了属性约简算法. 该算法以空集为起点求取系统的约简,不需要计算核,节约了时间,减少了占用空间,简化了求解过程. 通过实例验证该改进相容关系模型及其属性约简算法.Abstract: The classic rough sets theory is based on the equivalence relation and not used to applicate incomplete information system. In order to extend the rough sets theory, an improved rough set model based on valued tolerance relation and prior probability obtained out of incomplete information system was presented. As a part of the model, an attribute reduction algorithm applicated incomplete information system was proposed. This algorithm takes the null set as the beginning, does not need core calculating, can save time and space, and simplify the solving process as wel1.Finally, the model and the attribute reduction algorithm are verified under an incomplete information system.
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