An efficient approach for Web service selection

The fast growth of the number of deployed Web services is transforming the enterprises from data-oriented systems into service-oriented systems. In this context, the selection of the best web service that satisfies specific QoS values among a group of web services with similar functionalities is becoming a challenging issue. To this aim, we investigate in this paper a methodology for web service selection that combines three techniques. First of all, we use skyline to reduce the research space, then BWM (Best Worst Method) to assign weight to QoS criteria and finally we exploit Vikor to rank the obtained skyline web services. We report the experimental results that compare our approach with Topsis and Promethee methods.

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