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属性拓扑是形式背景新的表示方法,其以属性及属性间的耦合关系为基础精确、可视化地刻画形式背景,有效降低概念计算的复杂度;属性拓扑是形式概念分析中的基础理论,而形式概念分析是粒度计算的重要应用方向;本文结合属性拓扑与粒计算,提出拓扑粒概念,并给出其生成方法与结果分析.其以属性拓扑为基础,以属性关联紧密度为切入点,通过分析属性拓扑顶点连接特性分析属性拓扑的粒度结构,并基于拓扑分裂提出一种属性拓扑粒结构分析算法,结合形式背景的阐述属性拓扑粒结构的实际意义,为属性拓扑粒结构分析提供一种思路与方法.
Attribute topology is a new representation method of formal context, which accurately and visually depicts the formal context based on the coupling between attributes and attributes, and effectively reduces the complexity of conceptual computation. Attribute topology is the basic theory in formal conceptual analysis, Conceptual analysis is an important application direction of granular computing.In this paper, the concept of topological kernel is proposed based on attribute topology and granular computing, and its generation method and result analysis are given.It takes the attribute topology as the basis and the attribute relational closeness as the starting point, Analyze the topology vertex connection characteristics Analyze the granularity structure of the attribute topology, and propose a attribute topology granular structure analysis algorithm based on the topological splitting. Combining with the formal context, it expatiates the practical significance of the attribute topology granular structure and provides a way of thinking for attribute topology granular structure analysis With method.