Fuzzy sets, rough set and probability

被引:2
|
作者
Young, T [1 ]
Lin, TY [1 ]
机构
[1] San Jose State Univ, Dept Math & Comp Sci, San Jose, CA 95192 USA
关键词
D O I
10.1109/NAFIPS.2002.1018074
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A rough membership function uses counting probability (ratio of cardinal numbers) to define a membership. An extension, called granular membership function(GMF), generalizes the counting probability to a general set function(GSF), such as probability, possibility, belief function and etc have been investigated previously. The "set theoretical operations" (STO) of GMF are induced naturally from the operations of GSF. In particular, for probabilistic GMF (PGMF) are defined according to the rules of probability; Their operations are depended not only on the numerical grades but also on the events. This is often expressed as "STO are not truth functional." On the other hand, STO on traditional fuzzy sets are truth functional. This phenomenon led us to conclude the grade of traditional fuzzy sesy can not be interpreted as a probability.
引用
收藏
页码:302 / 309
页数:8
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