计算机工程与应用2012，Vol.48Issue(10)：128-131,4.DOI:10.3778/j.issn.1002-8331.2012.10.028
基于模糊理论的多传感器信息融合算法
Multi-sensor information fusion algorithm based on fuzzy theory
摘要
Abstract
As an important inference theory of uncertainty, D-S evidence theory provides a good solution to deal-with the ambiguity and uncertainty of sensor information. However, how to construct basic probability assignment function(mass function) is still an open issue. To solve this problem, this paper proposes a Gaussian fuzzy membership function based on fuzzy theory to obtain the reliability of each sensor, and calculates the mutual supportability of multiple sensors. Then the reliability and supportability are changed to mass function. Finally, multi-sensor information is combined by using evidence theory. Simulation results show that this method can improve the accuracy and reliability of the recognition.关键词
证据理论/信息融合/模糊理论/隶属函数Key words
evidence theory/ information fusion/ fuzzy theory/ membership function分类
信息技术与安全科学引用本文复制引用
李辉,潘恺,张新..基于模糊理论的多传感器信息融合算法[J].计算机工程与应用,2012,48(10):128-131,4.基金项目
国家自然科学基金(No.61171155) （No.61171155）
中国航天科技集团公司航天科技创新基金(No.CASC200902). （No.CASC200902）
