基于约束的优势关系下粗集数据分布约简研究

RESEARCH ON DISTRIBUTION REDUCTION OF DOMINANCE-BASED ROUGH SETS DATA BASED ON CONSTRAINT

目前,粗集理论及工具已经被广泛研究与应用,在基于优势关系下的不协调信息系统中获取规则方法也已有许多成果。在上述理论研究的基础上,对优势关系下数据分布约简引入了约束的概念,对实际的问题进行领域知识导航,量化优势关系,使约简知识更具实用性,同时通过实例分析验证了该约束算法的有效性。

Nowadays, rough set theory and its tools have been. widely studied and used. There are many productions attained in acquiring the rules from dominance relations-based Inconsistent Information systems. On the basis of above theory study, this article introduces the concept of constraint into dominance relations-based distribution reduction, which navigates the domain knowledge for practical problems, quantizes the dominance relations and makes the reduction knowledge more practical. Meanwhile, the effectiveness of the constraint algorithm is validated through instance analysis.