Intelligent Cloud Automation for Smart City Using Fuzzy Inference System

Abstract

Cloud computing is a comprehensive internet-based computing solution that enables computer services through the Internet. It has become an emerging technology to do business due to recent advances in cloud computing. Cloud services are essential while providing subscription, based on-demand services. A couple of available organizations provide their consumers with a wide range of Cloud services with similar characteristics. Because of the rapid development and broad availability of Cloud services, it isn't very easy for users to find the best service providers and the reasons behind the selection. Selecting a suitable cloud service provider can be a challenging task involving quantitative and qualitative criteria. A research study proposed a hierarchical Mamdani fuzzy expert system to overcome this challenge. This system efficiently handles the uncertainty of the data involved in multi-criteria decision-making problems. The study shows that the Mamdani fuzzy expert system is an effective tool for selecting a cloud service provider that can handle quantitative and qualitative decision criteria in the existing business scenario.