计算机应用与软件2013，Vol.30Issue(8)：193-196,4.DOI:10.3969/j.issn.1000-386x.2013.08.052
基于粗糙集理论的Web服务选择方法
WEB SERVICE SELECTION METHOD BASED ON ROUGH SET THEORY
刘军 1李宁宁2
作者信息
- 1. 中国科学院成都计算机应用研究所 四川成都610041
- 2. 电子科技大学计算机工程学院 四川成都610041
- 折叠
摘要
Abstract
In dynamic Web service composition,there is frequently the phenomenon of QoS data information loss or getting wrong.In light of this,we present to carry out QoS-driven Web services selection method using rough set theory under the condition of without priori knowledge and incomplete data information.Firstly,the problem of service selection is modelled as multi-attribute decision making model.Then,according to the Web services application condition and the features of data we choose applicable data pre-processing method (data reinforce,discretisation,attribute reduction,etc.),and present a service selection algorithm based on service weight order according to the rule set generated by the rough set theory.Finally,the service selection method given above is proved to be effective with a group of Web ticket-booking services with incomplete QoS information.关键词
Web服务/粗糙集理论/服务选择Key words
Web services / Rough set theory / Service selection分类
信息技术与安全科学引用本文复制引用
刘军,李宁宁..基于粗糙集理论的Web服务选择方法[J].计算机应用与软件,2013,30(8):193-196,4.
