度量加权直觉模糊序信息系统的粗糙隶属度

Rough Membership Degree of Metric Weighted Intuitionistic Fuzzy Ordered Information System

在已有的直觉模糊序信息系统概念的基础上,根据加权得分函数引入度量加权向量,并利用度量加权的概念把直觉模糊等价关系推广为度量加权直觉模糊优势关系,从而建立了度量加权直觉模糊序信息系统.进一步定义了粗糙隶属度,研究了其相关重要性质,并通过实例验证了该模型的可行性和有效性.

Based on the existing concept of intuitionistic fuzzy ordered information system,the metric weighted vector was introduced according to weighted score function.By using the concept of metric weighted,the intuitionistic fuzzy equivalence relation was extended to metric weighted intuitionistic fuzzy dominance relation,and a metric weighted intuitionistic fuzzy ordered information system was also established.On this basis,the rough membership degree was defined,and the related properties were explored.In addition,the feasibility and validity of these properties were verified by examples.