Vague集相似度量的一个新模型  

A new similarity measure model between vague sets

作　　者：彭祖明[1] 陈义华[2] 

机构地区：[1]长江师范学院数学与计算机学院,重庆408100 [2]重庆大学数理学院,重庆400044

出　　处：《安徽大学学报（自然科学版）》2013年第5期12-16,共5页Journal of Anhui University(Natural Science Edition)

摘　　要：分析了已有vague值的相似度量模型的不足,指出了vague值的相似度量建模须考虑的因素,提出了一个新的vague值相似度量模型,并证明了其满足相似度量的公理化定义.在提出的vague值相似度量模型的基础上,建立了vague集的相似度量一个新模型.实验表明,新模型具有较好的区分度,能克服已有模型的不足.Some similarity measure model＇ s shortcoming between vague values were analyzed, and the factors about similarity measure modeling were construed, then a new model of similarity measure between vague values was proposed. And it proved to meet the conditions of similarity measure Axiom. Finally, a new similarity measure model between vague sets was established under the similarity measure model between vague values. Experimentation results show that the new model had good discrimination and the ability that overcome the existing model＇ s deficiency.

关 键 词：VAGUE集 相似度量 模型 直觉 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]