关键词: 复杂数据, 决策粗糙集, 量化复合关系, 矩阵运算

Abstract: Traditional decision-theoretic rough set lacks the ability to deal with various types of complexity data. To tackle this issue, by considering fusion technology, this paper firstly proposes the quantitative composite relation, and further verifies that it is the popularization form of intersection-composite relation and union-composite relation. Subsequently, the corresponding decision-theoretic rough set model is presented. Finally, the fusion process with composite relation is intuitively described by matrix operations, and a novel method is introduced to compute the decision-theoretic rough approximations. The experimental results on UCI datasets show that the model and approach are efficient and stabilized.

Key words: complexity data, decision-theoretic rough set, quantitative composite relation, matrix operations