Capturing and Using QoS Relationships to Improve Service Selection
CAiSE '08 Proceedings of the 20th international conference on Advanced Information Systems Engineering
Ranking Services Using Fuzzy HEX Programs
RR '08 Proceedings of the 2nd International Conference on Web Reasoning and Rule Systems
Reputation Tracking Procurement Auctions
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Multi-attribute auction model for agent-based content trading in telecom markets
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part I
A QOS enhanced framework and trust model for effective web services selection
Journal of Web Engineering
A QOS enhanced framework and trust model for effective web services selection
Journal of Web Engineering
Application of business-driven decision making to RESTful business processes
ICSOC'12 Proceedings of the 10th international conference on Service-Oriented Computing
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One of the challenging problems that Web service technology faces is the ability to rapidly locate useful on-line services based on their capabilities. With the increasing popularity of Web services, a wide variety of services are offered that can satisfy the functional requirements of a special task, therefore there is need for mediation infrastructures able to support humans or agents in the eventual selection of appropriate services. To address this problem, a fuzzy multi-attribute decision making algorithm for Web services selection based on quality of service is proposed, which can select the most appropriate one with the highest degree of membership belonging to the positive ideal solution. The experimental results indicate that the fuzzy multi-attribute decision making algorithm proposed in this paper outperforms the random and round robin selection policies