Use of hybrid MCDM model in evaluation for cloud service application improvement

Cloud services represent an information revolution that is changing the computer usage habits of one billion people. The purposes for which consumers intend to use a cloud service must be identified and analyzed to guide providers in improving their software and enhancing its innovative and creative functions. Few studies have investigated methods for developing cloud service applications. Numerous key factors may be used to evaluate the application of cloud services. However, many standards rely on interactive features that are difficult to analyze. Therefore, the functions that cloud users consider in their choice of cloud services require further research and improvement. In this study, a hybrid multicriterion decision-making approach involving a decision-making trial and evaluation laboratory, a DEMATEL-based analytic network process, and VIKOR schemes was used to obtain optimal resolution. This study examines critical relationships among the rules that affect the cloud service application enterprise and potential sources of added value. The results of this study may serve as reference information for service providers. Additionally, the method demonstrated in this study can be utilized to resolve feedback issues among various factors and thereby facilitate more effective problem-solving and services in the cloud service application industry.