基于不完备信息的粗糙集确定备件品种

Defining the Class of Spare Parts Based on the Rough Set of Incomplete Information

针对确定备件品种不完备信息的多属性决策问题,给出了基于不完备信息系统的粗糙集模型,并依据扩展优势关系确定粗糙集的上、下近似集,从而获取分类决策规则;通过一个实例说明该方法的可行性和有效性.

In this paper, a model based on the rough set of the incomplete information system is proposed to multi-attribute decision making problems to define incomplete information of the spare parts class. Then up and down-approximation sets of the rough set are defined by the extended dominance relation, and the sorting decision rules are obtained. Finally, the feasibility and effectiveness of the method are demonstrated by a real example.