Ranking cloud services using fuzzy multi-attribute decision making

In this paper, we propose the use of fuzzy multi attribute decision making to rank Cloud services with respect to a host of standard quality of service attributes. The important contribution of the paper is the recognition of the quality of service attributes as fuzzy sets and then formulating the selection of the best Cloud service as a fuzzy multi attribute decision making problem. We employed fuzzy `and' operator to model the final decision as the intersection of the underlying fuzzy sets. Results are compared with a previous study where only analytic hierarchy process was used and the rankings produced by the current study turned out to be different.