IoT Platform Selection Using Interval Valued Intuitionistic Fuzzy TOPSIS

Abstract

The Internet of Things (IoT) platform selection is one of the important steps that leads to digital transformation. The companies should consider multiple factors such as return of investment, the flexibility to change the IoT platform, the future performance, sustainability of the platform, the maturity level of IoT platform, security of the IT platform, the support services provided by the platform, previous relations with the IoT platform provider company, the strength of IoT ecosystem, the scope of the services, and usability of the IoT platform. Evaluating these factors is a complex process that requires ambiguous and subjective judgments. Interval valued intuitionistic fuzzy sets enable dealing with ambiguous and subjective evaluations. In this study we developed an interval valued intuitionistic fuzzy TOPSIS method for evaluating IoT Platforms. In order to show the applicability of the proposed methodology, an illustrative example is provided.