A new similarity measure between fuzzy numbers and its application to data fusion

被引：0

作者：

Sun, Dong ^{[1
]}

Shi, Wen kang ^{[1
]}

Deng, Yong ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Dept Instrumentat Engn, Shanghai 200030, Peoples R China

来源：

DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS | 2006年 / 13卷

关键词：

generalized fuzzy numbers; similarity measures; multi-sensor information fusion;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

The degree of similarity between fuzzy numbers plays an important role in fuzzy information fusion. In this paper, improved ROG-based similarity measure developed from the current ROG method is presented. It is shown that the new method can overcome some shortcomings of the existing similarity measures. Based on the proposed similarity measure, a more flexible and intelligent algorithm is developed to deal with multi-sensor data fusion problems. A numerical example is used to illustrate the efficiency of the proposed method.

引用

页码：196 / 200

页数：5

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