粗糙集理论在模糊隶属函数辩识中的应用

Application of Rough Set Theory to the Identification of Fuzzy Membership Function

提出应用粗糙集理论辩识模糊隶属函数的可行性 .它对机械化立窑水泥煅烧过程操作工的经验知识和专家知识进行综合考虑 ,归纳为知识系统决策表 .根据粗糙集理论 ,求出决策表的最小约简算法 .依此属性 ,重新划分模糊空间 ,并定义边界以确定隶属函数 .经模型有效性确认 ,表明该方法是有效的 .

The feasibility of applying theory of rough sets to the identification of fuzzy membership function is confirmed in this paper. A decision table of knowledge system is concluded by comprehensively considering knowledge, from experience and experts, on the operation of cement calcination in a mechanized shaft kiln. Based on the theory of rough sets, the minimal reduced algorithm of the decision table is solved. The fuzzy space is then redivided by this attribute value; and the membership function is determined by defining the boundary. This is an effective method, as confirmed by the effectiveness of the model.