caa a22 4500 606229027 CHVBK 20210128101206.0 cr unu---uuuuu 210128e20150801xx s 000 0 eng 10.1007/s10796-013-9447-4 doi (NATIONALLICENCE)springer-10.1007/s10796-013-9447-4 Satisfaction-based Web service discovery and selection scheme utilizing vague sets theory [Elektronische Daten] [Ping Wang, Kuo-Ming Chao, Chi-Chun Lo] Most existing QoS-aware Service Discovery and Selection (QSDS) schemes use linguistic terms to describe the QoS satisfaction degree when ranking competing alternatives. However, such schemes determine the degree of QoS satisfaction using fuzzy set membership functions, and cannot therefore take negative evidence (i.e., consumer dissatisfaction) into account. By contrast, vague sets provide the ability to represent both positive and negative evidence when modeling uncertain objects. Accordingly, the present study proposes a new satisfaction-based Web service ranking method for QSDS problems involving a group of online service consumers with imprecise and inconsistent expectations and degrees of satisfaction regarding multiple QoS criteria. Importantly, the proposed approach overcomes the uncertainty regarding the difference between the users' expectations and their degree of satisfaction inherent in Dempster-Shafer (D-S) evidence theory. Overall, the results show that the proposed scheme provides an effective means of solving the problem of vague and ill-defined information in the QSDS decision-making process. Springer Science+Business Media New York, 2013 Service discovery nationallicence Vague sets nationallicence QoS nationallicence Satisfaction degree nationallicence Evidence theory nationallicence Wang Ping Department of Information Management, Kun Shan University, 710, Tainan, Taiwan aut Chao Kuo-Ming DSM Research Group, Department of Computer and Network Systems, Coventry University, CV1 5FB, Coventry, UK aut Lo Chi-Chun Institute of Information Management, National Chiao Tung University, 300, Hsinchu, Taiwan aut Information Systems Frontiers Springer US; http://www.springer-ny.com 17/4(2015-08-01), 827-844 1387-3326 17:4<827 2015 17 10796 https://doi.org/10.1007/s10796-013-9447-4 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10796-013-9447-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Wang Ping Department of Information Management, Kun Shan University, 710, Tainan, Taiwan aut NATIONALLICENCE 700 1- Chao Kuo-Ming DSM Research Group, Department of Computer and Network Systems, Coventry University, CV1 5FB, Coventry, UK aut NATIONALLICENCE 700 1- Lo Chi-Chun Institute of Information Management, National Chiao Tung University, 300, Hsinchu, Taiwan aut NATIONALLICENCE 773 0- Information Systems Frontiers Springer US; http://www.springer-ny.com 17/4(2015-08-01), 827-844 1387-3326 17:4<827 2015 17 10796