QoS-Aware Web Services Selection with Interval-Valued Intuitionistic Fuzzy Soft Sets

With the increasing popularity of the development of service-oriented applications, it is imperative to measure the quality of services (QoS) for service consumers and providers. To find the most suitable service for different consumers, the QoS nonfunctional attribute will become an important factor in web service selection. However, non-functional QoS properties rely heavily on the subjective perceptions of service consumers that are not easy to assess due to their complexity and involvement of ill-structured information. The purpose of this paper is to introduce interval-valued intuitionistic fuzzy soft set theory for solving web service selection problems that take into account QoS requirement of consumers. Interval-valued intuitionistic fuzzy soft set theory, which is a new useful mathematical tool for dealing with uncertainties, is more effective to deal with uncertainties on non-functional QoS properties in web service selection. We present basic system architecture and the algorithm to solve fuzzy decision making problems for selecting web service based on interval-valued intuitionistic fuzzy soft sets. Finally, an illustrative example is employed to show our contribution.

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