An approach to quality assessment for web service selection based on the analytic hierarchy process for cases of incomplete information

作     者：GAO Cong MA JianFeng LIU ZhiQuan MA XinDi 

作者机构：School of Computer Science and Technology Xidian University 

出 版 物：《Science China Chemistry》 (中国科学（化学英文版）)

年 卷 期：2015年第58卷第12期

页      面：71-84页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0825[工学-航空宇航科学与技术] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by Key Program of the NSFC-Guangdong Union Foundation(Grant No.U1135002) Major National S&T Program(Grant No.2011ZX03005-002) National Natural Science Foundation of China(Grant Nos.60872041 61072066) Fundamental Research Funds for the Central Universities(Grant Nos.JY10000903001 JY10000901034 K5051203010) GAD Pre-Research Foundation(Grant No.9140A15040210HK61) 

主　　题：incomplete information quality assessment analytic hierarchy process (AHP) web services qual-ity of service selection 

摘      要：Since web services intended for the same application environment tend to be functionally homogeneous, researchers have turned to their non-functional aspects in order to constructively compare web services and choose an appropriate one. In general, quality of service is very important to users. Many schemes that consider quality assessment have been proposed for web service selection. With the increasing number of qualityrelated attributes, an effective quality assessment method needs satisfactory scalability. Schemes based on the analytic hierarchy process(AHP) meet this requirement. However, prevalent methods in this vein overlook the fact that the traditional AHP needs a complete judgment matrix. In practice, all the information needed to construct a judgment matrix is often unavailable for a variety of reasons, due to which certain judgments cannot be made. In this paper, for an incomplete judgment matrix, we propose an improved AHP approach to consistency verification and the subsequent ordering. Our method can deal with situations where information is insufficient,and inherits all the merits of the traditional AHP approach. A case study establishes the effectiveness of our proposed method.