A decision making framework under intuitionistic fuzzy environment for solving cloud vendor selection problem

Abstract

This paper proposes a new scientific ranking framework for optimal selection of cloud vendor(CV) for the organization. For this purpose, a set of target dimensions for cloud computing from customer point of view are defined, based on expert reviews, international literature reviews and cloud provider market analysis. This study proposes intuitionistic fuzzy group decision making (IF-GDM) approach with intuitionistic fuzzy analytic hierarchy process(IF-AHP) for effective cloud vendor selection. In the previous approaches, IF-AHP was mainly used to determine the criteria weights and ranking was performed using other intuitionistic fuzzy based ranking schemes. All these schemes ignored to verify the consistency of the decision matrices which led to unrealistic preference orders. To alleviate such issue, in this paper, a new ranking framework with IF-AHP is proposed to provide both pair-wise comparison as well as consistency check for decision matrices. A case study of cloud vendor selection is demonstrated to verify the strength of the proposed framework.