【摘要】 隶属函数是模糊数学理论的基石,也是模糊数学应用中的关键问题。而隶属函数的确定又无一般模式可循,这给应用模糊数学的实际工作者带来困难,致使一些应用实例中,对所论模糊集隶属函数的选定或缺乏充分依据,或与概率混为一谈。本文在剖析隶属函数含义的基础上,建立了普通集的导出模糊集的概念,从而阐明了一类统计指标的隶属度本质,为模糊数学与统计学的结合提出一个途径,并从实用的角度说明了建立隶属函数的常用方法。更多还原

【Abstract】 Membership function is the cornerstone of the fuzzy mathematics, and also the key problem of the fuzzy mathematical application. In this paper on the base of dissecting the implication of the membership function , we have establish the conception of the derived fuzzy set of the ordinary set, thus, we expound degree of membership essence of a certain statistical index, and put a way for the combination of the fuzzy mathematics and statistics, and expound a method in common use of establishing the membership function in a practical angle.更多还原