基于证据距离与不确定度的证据组合方法OA北大核心CSCDCSTPCD
Weighted evidence combination based on distance of evidence and uncertainty measure
Dempster-Shafer证据理论是信息融合领域中的一种重要的理论与方法.然而在实际应用中,Dempster证据组合规则无法有效处理高冲突证据组合问题,往往引发反直观结果.针对这一问题,提出一种新的加权证据组合方法.该方法同时利用证据距离和证据不确定度来生成权重进而修正待征组合证据,并取得合理的组合结果.实验结果表明所提方法具有更快的收敛速度,能有效应对高冲突证据组合问题.
Dempster-Shafer evidence theory is an important tool in the fields of information fusion.However Dempster' s rule of combination cannot efficiently handle highly conflicting evidence combination for it can arouse counter-intuitive behaviors.To deal with such a problem,a novel weighted average evidence combination approach is proposed.Not only the distance of evidence but also the uncertainty measure is utilized to determine the weights of the bodies of…查看全部>>
韩德强;邓勇;韩崇昭;侯志强
西安交通大学智能网络与网络安全教育部重点实验室,机械制造系统工程国家重点实验室,电信学院,综合自动化研究所,陕西西安710049上海交通大学电子信息学院,上海2002403.西南大学计算机与信息科学学院,重庆400715西安交通大学智能网络与网络安全教育部重点实验室,机械制造系统工程国家重点实验室,电信学院,综合自动化研究所,陕西西安710049
信息技术与安全科学
证据理论传感器数据融合距离函数不确定度
evidence theory sensor data fusion distance function uncertainty measure
《红外与毫米波学报》 2011 (5)
基于人类视觉彩色传递特性的彩色图像分割方法研究
396-400,468,6
Foundation item:Supported by the Grant for State Key Program for Basic Research of China(973) (2007CB311006),the Program for New Century Excellent Talents in University,Grant No.NCET-08-0345,Shanghai Rising-Star Program grant No.09QA1402900,Foundation for Innovative Research Groups of the National Natural Science Foundation of China(60921003),the National Natural Science Foundation of China(60805015),Research Fund of Shaanxi Key Laboratory of Electronic Information System Integration(No.201 101Y17) and China Postdoctoral Science Foundation (No.20100481337)
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