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Improving cloud computing service in fuzzy environment — Combining fuzzy DANP and fuzzy VIKOR with a new hybrid FMCDM model

机译:采用新型混合FMCDM模型改进模糊环境中的云计算服务 - 结合模糊丹麦和模糊vikor

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Understanding user intentions and behaviors with regards to online cloud computing service applications will be helpful in predicting whether an application will be adopted by enterprises and guiding the improvement processes of providers. A wide range of criteria is used to assess the quality of cloud computing services. However, most of these criteria have interdependent or interactive characteristics, which can make it difficult to effectively analyze and increase usage intentions of cloud computing services. This study aims to address this issue by using a hybrid fuzzy MCDM approach that includes the fuzzy DEMATEL, fuzzy DANP and fuzzy VIKOR methods to improve service levels and achieve the goal of meeting user needs in fuzzy environments. By exploring the interrelationships among criteria related to operations in the mobile communications industry and related value-added service content providers, this approach can be used to solve interdependence and feedback problems.
机译:了解在线云计算服务应用程序的用户意图和行为将有助于预测企业将采用申请并指导提供者的改进进程。广泛的标准用于评估云计算服务的质量。然而,这些标准中的大部分具有相互依存或互动特性,这可以使其使得难以有效地分析和增加云计算服务的使用。本研究旨在通过使用混合模糊MCDM方法来解决这个问题,其中包括模糊Dematel,模糊DANP和模糊Vikor方法来提高服务水平,实现模糊环境中满足用户需求的目标。通过在移动通信行业和相关增值服务内容提供商中探索与操作相关的标准之间的相互关系,可以使用这种方法来解决相互依存和反馈问题。

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