摘要
基于证据理论的信任模型是常用的信任模型之一,且证据理论是一种具有良好理论基础的不确定性推理方法。为了解决证据收集以及冲突证据合成可能会产生不合理结果的问题,通过改进证据收集方法提高证据质量,同时结合证据距离、相似度、支持度和可信度,在证据合成过程中将冲突证据进行重新分配。实验结果表明:改进的证据合成机制提高了合成证据的合理性,使得信任计算结果更为可信。
The trust model based on evidence theory was a widely used trust model, and the evidence theory was an un- certainty reasoning method with solid theoretical foundation. In order to slove the problem of the evidence collection and the unreasonable results made by conflict evidence combination, the method of the evidence collection was modified to enhance the quality of evidences, and the conflict evidences were redistributed based on distance, similarity, support and credibility of evidences during the process of evidence combination. Experimental results showed that the improved combination mechanism of evidences could enhance the reasonality of the evidence combination and could make the results of trust computing more credible.
出处
《山东大学学报(工学版)》
CAS
北大核心
2013年第1期48-53,共6页
Journal of Shandong University(Engineering Science)
基金
国家自然科学基金资助项目(60803061)
江苏省自然科学基金资助项目(BK2008293)
关键词
证据理论
冲突证据合成
信任模型
证据收集
证据可信度
combination of conflict evidence
evidence theory
trust model
evidence collection
evidence credibility