摘要
传统网络用户体验层次分析方法忽略了对用户体验质量评价的统计特征量的提取,导致用户体验质量评价的准确度偏低,网络服务不够满意。因此,提出基于移动网络用户体验质量评价的模糊层次分析方法。根据用户历史偏好数据分布构建移动网络用户体验质量分析模型,考虑移动网络用户在浏览网站时的行为特征参量,分析移动网络用户体验质量评价的模糊参数。通过计算用户之间的相似性特征量,采用模糊度特征聚类方法实现对移动网络用户体验质量评价的大数据挖掘和信息融合处理。基于此提取移动网络用户体验质量评价的统计特征量,结合用户-用户相似性分布和差异度特征,实现对移动网络用户体验质量评价的模糊层次分析。仿真实验结果表明,采用该方法分析移动网络用户体验质量评价的模糊层次具有更高的可靠性,提高了移动网络用户体验质量评价准确度,从而提高移动网络的服务质量。
The traditional hierarchical analysis method of network user experience ignores the extraction of statistical characteristic quantity of user experience quality evaluation,which results in low accuracy of user experience quality evaluation and unsatisfactory network service.Therefore,a fuzzy AHP method based on mobile network user experience quality evaluation is proposed.Based on the distribution of users'historical preference data,a quality analysis model of mobile network user experience is built,and the fuzzy parameters of mobile network user experience quality evaluation are analyzed by considering the behavioral characteristic parameters of mobile network users when browsing Websites.By calculating the similarity feature quantity among users,the fuzzy degree feature clustering method is used to realize the big data mining and information fusion processing for the mobile network user experience quality evaluation.Based on this,the statistical feature quantity of mobile network user experience quality evaluation is extracted,and combined with user-user similarity distribution and difference characteristics,the fuzzy hierarchical analysis of mobile network user experience quality evaluation is realized.The simulation results show that the fuzzy level of mobile network user experience quality evaluation using this method has higher reliability,it improves the accuracy of mobile network user experience quality evaluation,and thus improves the service quality of mobile network.
作者
麦英健
MAI Yingjian(Paver Supply Bureau Co. Ltd.,Guangdong 518000,China)
出处
《微型电脑应用》
2021年第6期181-184,共4页
Microcomputer Applications
关键词
移动网络
用户体验
质量评价
模糊层次分析
统计特征量
mobile networks
user experience
quality evaluation
fuzzy analytic hierarchy process
statistical characteristic quantity