基于属性粒度研究决策形式背景的规则提取理论

Rules acquisition of decision formal contexts based on attribute granular

粒计算作为研究热点之一,使得用多角度、多层次的方法研究问题变为可能。将粒计算引入决策形式背景,将会获得更为精确的决策规则。从属性粒度树的角度出发,首先定义了多粒度决策形式背景,其次研究了粒化前后协调性之间的关系,最后给出了粒化前后多粒度决策形式背景上的规则之间的关系。

As a hot research topic, granular computing makes the multi-level research questions possible. If granular computing is introduced to decision formal context, there are more accurate decision rules. In this paper, we define the multiple granularity decision formal context from the perspective of granularity of a g-tree, then the consistent properties between before and after granulation are studied. The relationship between rules of before and after granulation are given.