A Mathematical Theory of Fuzzy Numbers Granular Computing Approach

被引:0
|
作者
Lin, Tsau Young [1 ]
机构
[1] San Jose State Univ, Dept Comp Sci, San Jose, CA 95192 USA
关键词
Fuzzy numbers; Fuzzified topological neighborhood systems; Granular computing; Qualitative fuzzy set; Topology;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The essence of granular computing (GrC) is to replace the concept of points in classical mathematics by that of granules. Usual fuzzy number systems are obtained by using type I fuzzy sets as granules. These fuzzy number systems have a common weakness - lack of existence theorem. Let R be the real number system, the trapezoidal membership functions at r is an element of R is a base of fuzzified topological neighborhood system FNS(r). By taking FNS(r) as the granule, a new (but not type I) fuzzy number system F is formed. Surprisingly, we have found that such a new F is abstractly isomorphic to the classical real number system.
引用
收藏
页码:208 / 215
页数:8
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