摘要： 为解决Web服务决策过程中新增信息多且信息不精确的问题,提出一种基于Web服务推荐的面向服务体系结构(SOA)系统。针对多准则决策分析过程特点,构建基于层次SOA结构的服务评估系统。给出权重时变多准则相似评估算法,根据相似评估提高Web服务推荐精度,并结合权重时变过程深入考虑各时段准则权重,增加Web服务的决策科学性。通过Yahoo域名Web服务推荐数据集上的实验,验证所提算法具有较高的Web服务推荐精度和较低的排序损耗。

关键词: 多准则决策, 相似度评价, Web服务, 面向服务体系结构系统, 域名

Abstract: In the Web service decision making process,there are problems of new and inaccurate information,so this paper proposes a Service-oriented Architecture(SOA) system for Web service recommendation.Based on the characteristics of the multi-criteria decision analysis,it constructs the hierarchical SOA structure based service evaluation system.It also proposes multi-criteria similarity evaluation algorithm of weight time variation to improve Web service recommendation accuracy.Combined with the weight-time-varying process,the criteria weights for each period are further considered,which can improve the scientific decision making of Web services.Experiments on the Web service recommendation data set of Yahoo domain name verifies that the proposed algorithm has a higher Web service recommendation accuracy and lower sorting loss.

Key words: Multi-criteria Decision Making(MCDM), similarity evaluation, Web service, Service-oriented Architecture(SOA) system, domain name

中图分类号: 

• TP393