The adoption of cloud computing depends upon detailed comparison of cloud provider alternatives with careful consideration. Therefore, poor cloud provider selection can lead to failure in service delivery, compromise data confidentiality and data integrity and loss of meeting clients' demands. Cloud provider selection is a multi criteria decision making problem, which is based on considering various quantitative and qualitative factors to analyze criteria simultaneously. The Analytic Network Process (ANP) is an advance and relatively new Multi Criteria Decision Making (MCDM) approach which can cope with many interactions between quantitative and qualitative criteria systematically. Furthermore, Decision Making Trial and Evaluation Laboratory (DEMATEL) technique is able to adjust the cause and effect relations among the criteria into a visual structural model along with applying the interdependencies within a series of criteria. However, both ANP approach and DEMATEL techniques in their single forms are not adequate to capture the uncertainty during value judgment deduction. In this study, to overcome this problem, a new and effective decision making framework based on integrating ANP and DEMATEL is proposed for multi criteria decision making about best cloud computing provider selection in uncertain conditions.

Cloud computing cloud provider selection MCDM ANP DEMATEL