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模糊证据理论及其在信息融合中的应用
引用本文:汪永东,陈颖.模糊证据理论及其在信息融合中的应用[J].工矿自动化,2006(5):32-34.
作者姓名:汪永东  陈颖
作者单位:中国矿业大学信电学院,江苏,徐州,221008;中国矿业大学信电学院,江苏,徐州,221008
摘    要:为了使证据理论能更加有效地应用,把证据理论向模糊集推广,利用模糊集的隶属函数提出一种构造证据理论中的基本概率赋值函数的方法,实现了模糊理论和证据理论的有效结合。不但有效地解决了证据理论中的基本概率赋值函数的不易确定问题,而且由于证据理论应用于实际更加方便和有效,融合结果也更加合理。

关 键 词:模糊集  证据理论  信息融合
文章编号:1671-251X(2006)05-0032-03
收稿时间:2006-06-13
修稿时间:2006年6月13日

Fuzzy Evidence Theory and Its Application in Information Fusion
WANG Yong-dong,CHEN Ying.Fuzzy Evidence Theory and Its Application in Information Fusion[J].Industry and Automation,2006(5):32-34.
Authors:WANG Yong-dong  CHEN Ying
Affiliation:College of Information and Electrical Engineering of CUMT. , Xuzhou 221008, China
Abstract:This paper generalized the evidence theory and made it could be used in fuzzy sets in order to use it more effectively.With the fuzzy membership function,it presented a method to set up the basic probability assignment function(mass function) in evidence theory,and integrated fuzzy theory and evidence theory effectively.This method has two functions.First,it solves the establishment of the mass function,which is rather difficult in evidence theory.Second, it brings the evidence theory nearer to practice.So with this method,the application of the evidence theory is easier extraordinarily and the result of the combination is more reasonable.
Keywords:fuzzy sets  evidence theory  information fusion
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