通信学报2017，Vol.38Issue(1)：83-88,6.DOI:10.11959/j.issn.1000-436x.2017010
基于信任度和确定度的证据加权组合方法
Weighted evidence combination based on degree of credibility and certainty
摘要
Abstract
To overcome the invalidation problem of Dempster rule with high conflict, a weighted combination method based on degree of credibility and certainty was proposed. Firstly, the cosine similarity was modified to hold the ability to measure the evidence conflict when multi-subset focal elements were included, followed by the building of evidence credibility model. Secondly, the evidence certainty model based on precision and entropy was presented, which can both reflect the evidence's degree of multi-subset focal elements and the dispersion degree of probability assignment. Then the weighted coefficient was determined by credibility and certainty. Finally, the normalized weighted coefficient was used to average the basic probability assignment, and the final combination result can be obtained according to Dempster rule. Numerical examples show that, compared with other traditional weighted combination methods, the proposed approach has made better performance in reducing conflict and accelerating convergence.关键词
证据组合/信任度/确定度/冲突度量/精度/熵Key words
combination of evidences/credibility degree/certainty degree/conflict measurement/precision/entropy分类
信息技术与安全科学引用本文复制引用
王路,邢清华,毛艺帆..基于信任度和确定度的证据加权组合方法[J].通信学报,2017,38(1):83-88,6.基金项目
国家自然科学基金资助项目(No.61272011) The National Natural Science Foundation of China (No.61272011) （No.61272011）
