دانلود رایگان مقاله انگلیسی مدل منطق فازی دو مرحله ای برای انتخاب و ارزیابی تامین کننده خدمات ابری - هینداوی 2018

Dynamicity of the cloud computing system, complexity of real-world decision-making problems, and nontransparent market imply numerous difculties in fnding the corresponding solution for cloud supplier evaluation and selection. Due to that reason, there is a need to develop a model that can contribute to increase of reliability of evaluation and reduction of subjectivity of the decisionmaker. Having in mind the aforementioned, the authors proposed a new concept to model a cloud supplier evaluation based on technology perspective. Here, we developed a model that combined fuzzy techniques with implemented simulation of model parameters. Te proposed method for cloud supplier evaluation is fexible with an objective evaluation and ensures more precise numerical value. Numerical examples are presented to demonstrate the efectiveness and pragmatism of the proposed approach.

4. Conclusion

Fast growing and nontransparent cloud computing market with various providers and specifc models of services greatly makes their evaluation difcult in order to perform comparisons. Another problem is the interoperability between providers which is not achieved and ofen makes selection of a provider an irreversible process or its selection requires more eforts.We proposed two-stage fuzzy logic model, based on Fuzzy Analytic Hierarchy Process (FAHP) and fuzzy logic approaches for cloud supplier evaluation. In this paper, fve major aspects of cloud service supplier from the technology perspective were applied to evaluate suppliers, while other critical factors could be added to this model. Defning fuzzy rules for the proposed model needs experience from feld experts and experimental results to obtain efective results. Specifcity of the method lies in implemented simulation of model parameters in order to ensure more precise numerical value. It should be mentioned that this study was limited to the cloud service supplier evaluation, but the model can be used in diferent areas of science and practice purpose.