Improved Multicriteria Ranking based web service Discovery approach

Abstract

Several Web services offering the same functionality can be provided to the customer. Thus, nonfunctional parameters (quality of service parameters) are introduced to improve the quality of the selection process by selecting the best service. In this paper, we propose a services discovery approach based on a multicriteria optimization; for that, we use reference point ranking and fuzzy logics function. This approach helps to choose the service offering the best level of quality parameters between services that have the same functionalities. To validate the approach, we used a dataset of about 600 services.