CAJ | 학술논문

属性约简是粗糙集理论与方法的研究热点，是一种重要的降维方法。将经典变精度粗糙集模型与优势关系粗糙集模型相结合，定义了优势关系下的β近似集合和β分布协调集的概念，并给出了基于β分布协调集的可辨识属性矩阵定义，提出优势关系下的变精度属性约简方法。通过实例分析，说明了该方法的可行性。
속성약간시조조집이론여방법적연구열점，시일충중요적강유방법。장경전변정도조조집모형여우세관계조조집모형상결합，정의료우세관계하적β근사집합화β분포협조집적개념，병급출료기우β분포협조집적가변식속성구진정의，제출우세관계하적변정도속성약간방법。통과실례분석，설명료해방법적가행성。
Attribute reduction has been become a research focus in rough set theory.It is a vevy important approach to dimension reduction.This paper proposes a new attribute reduction model, dominance reduction with variable accuracy.The concepts ofβapproximation sets and βdistributed consistent sets are first defined, bast-don dominance relations.Ther, the discernible attribute matrix is constructed by βdistributed consistent sets. Finally, an example is illustated to explain the validity of the proposed method.