摘要
为了提高用户满意度,需要在大量具有相同或相似功能的资源服务中筛选出满足用户需求的最优资源服务,从而实现资源服务的增值。以三角模糊数表达用户对资源服务非功能QoS评价为基础,在考虑用户的感知和交易经验的同时,综合考虑了资源服务非功能QoS评价合成中的各种因素(如时间、用户信誉度、评价一致性等)的影响,结合模糊(fuzzy)理论以及逼近理想解排序,进而提出了基于fuzzy TOPSIS的资源服务优化选择算法。实验结果表明,该算法具有较高的准确度,并可在一定程度上抵制恶意评价对资源服务质量评价的影响。
In order to improve the satisfaction of users and achieve the appreciation of resource service,it is important to select an optimal resource service,which also satisfies the demand of users,from all candidate resource services which have the characteristic of identical or similar functions.This paper represented all users＇ evaluations on non-functional QoS assumed that by triangle fuzzy numbers,via integrating the fuzzy set theory and the TOPSIS method,and it proposed a fuzzy TOPSIS-based resource service optimal-selection algorithm.In this algorithm,it took into account not only the user＇s feeling and transaction experiences,but also many other factors existing in the non-functional QoS evaluation aggregation of resource services（such as time,user reputation,evaluation consistency,etc.）.Experimental results reveal that this algorithm has high accuracy,and can prevent the impact from the malicious evaluations at some extent.
出处
《计算机应用研究》
CSCD
北大核心
2012年第12期4522-4526,共5页
Application Research of Computers
基金
国家自然科学基金资助项目(61070015)
广东省自然科学基金团队资助项目(10351806001000000)
广东省中国科学院全面战略合作资助项目(2009B091300069)
关键词
资源服务优化选择
服务质量
三角模糊数
逼近理想解排序
resource service optimal-selection
quality of service（QoS）
triangle fuzzy numbers
technique for order preference by similarity to ideal solution（TOPSIS）
