Skyline-based models for Web Services Selection

With the proliferation of service-oriented architectures (SOA) the number of Web services has increased dramatically making it difficult for users to select a relevant service. The Skyline paradigm which helps select Web services based on Quality of Service (QoS) data has become popular by presenting only non-dominated services. However this approach has limitations such as producing incomparable results giving equal weight to all QoS criteria and being unable to control the size of the results.This book proposes several approaches to overcome these challenges. The first SkyAP-S3 combines multi-criteria methods (MCDM) such as Skyline AHP to weight criteria and PROMETHEE to integrate user preferences. The second SEFAP enhances SkyAP-S3 by handling uncertainty in user judgments using entropy and Fuzzy AHP. Finally an advanced version of Fuzzy AHP is proposed to automate the comparison of criteria and services via a discretization algorithm. Experiments have demonstrated the effectiveness of these approaches.