现代电子技术2011，Vol.34Issue(15)：5-7,3.
基于模糊数相似性的BPA生成方法
BPA Generation Method Based on the Similarity of Fuzzy Numbers
摘要
Abstract
In the framework of evidence theory, information fusion relies on the use of combination rule allowing the belief functions for the different propositions to be combined. A crucial role in evidence theory is played by Dempster 's combination rule which has several interesting mathematical properties such as commutativity and associativity, and can be combined without prior information which make it widely used in many data fusion systems: However, how to construct basic probability assignment (BPA) is still an open issue. A new method to obtain BPA based on the similarity measure between fuzzy numbers is proposed. The efficiency and the applicability of the proposed method is illustrated by the illustration of Iris data classification.关键词
多传感器融合/D-S证据理论/基本概率赋值函数/模糊数Key words
multisensor data fusion/ D-S evidence theory/ basic probability assignment function/ fuzzy numbers分类
信息技术与安全科学引用本文复制引用
李云彬,李辉,王云飞..基于模糊数相似性的BPA生成方法[J].现代电子技术,2011,34(15):5-7,3.基金项目
中国航天科技集团公司航天科技创新基金(CASC200902) （CASC200902）
西北工业大学种子基金(Z2010034)资助项目 （Z2010034）
