摘要
提出一种基于粒子群差分进化的云交易信任度评价控制算法.在O2O云模型下构建了云交易的网络结构和信任度属性数据分析模型,对信任度的影响参量进行约束函数构建,采用粒子群差分进化方法提取信任度属性的特征值并实现特征信息聚类分析,结合第三方监管机制,实现对云交易商家的信任度评价控制和监管,由此实现对云交易信任度的优化评价和控制.研究结果表明,采用该方法对云交易商家的信任度评价准确性较高,实时性较好,具有较高的在线筛选和分析能力.
A new trust evaluation algorithm based on particle swarm evolution in cloud transaction is proposed. Under the 020 cloud model, the network structure and trust attribute data analysis model is constructed, and the influence parameters are constructed by using the method of particle swarm optimization. The feature value is extracted from the trust property and the control system is realized. The results show that this method has high accuracy and good real-time performance, and has good real-time performance, and has a good ability of online filtering and analysis.
出处
《微电子学与计算机》
CSCD
北大核心
2016年第2期135-139,共5页
Microelectronics & Computer
关键词
云交易
信任度
评价
电子商务
控制
cloud transaction
trust
evaluation
electronic commerce
control
