|Title||Managing Imprecise Criteria in Cloud Service Ranking with a Fuzzy Multi-Criteria Decision Making Method. European Conference on Service-Oriented and Cloud Computing|
|Publication Type||Conference Paper|
|Year of Publication||2013|
|Authors||Patiniotiakis, I, Rizou, S, Verginadis, Y, Mentzas, G|
|Conference Name||European Conference on Service-Oriented and Cloud Computing. Malaga, Spain|
The increase of cloud technology solutions has made the evaluation and selection of desired cloud services, a cumbersome task for the user. In par-ticular, the lack of standard mechanisms that allow the comparison of cloud service specifications against user requirements taking into account the implicit uncertainty and vagueness is a major hindrance during the cloud service evalua-tion and selection. In this paper, we discuss an alternative classification of met-rics used for ranking cloud services based on their level of fuzziness and present an approach that allows cloud service evaluation based on a heterogeneous model of service characteristics. Our approach allows the multi-objective as-sessment of cloud services in a unified way, taking into account precise and im-precise metrics. We use fuzzy numbers to model the imprecise service charac-teristics and vague user preferences and we validate a fuzzy AHP approach that solves the problem of service ranking.