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A Cloud Adoption Decision Support Model Based on Fuzzy Cognitive Maps

机译:基于模糊认知地图的云采用决策支持模型

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Cloud Computing has become nowadays a significant field of Information and Communication Technology (ICT). Both cloud providers and customers invest time and resources in an endeavor of the former to serve effectively the needs of the latter so as to adopt efficiently such cloud services, based their needs. The decision to adopt cloud services falls within the category of complex and difficult to model real-world problems. Aiming to support the cloud adoption decision process, we propose in this paper an approach based on Fuzzy Cognitive Maps (FCM) which models the parameters that potentially influence such a decision. The construction and analysis of the map is based on factors reported in the relevant literature and the utilization of experts' opinion. The proposed approach is evaluated through four real-world experimental cases and the suggestions of the model are compared with the customers' final decisions. The evaluation indicated that the proposed approach is capable of capturing the dynamics behind the interdependencies of the participating factors.
机译:云计算已成为现在的信息和通信技术(ICT)的重要领域。云提供商和客户在努力的努力中投资时间和资源,以有效地服务于后者的需求,以便有效地采用这种云服务,以其需求。采用云服务的决定属于复杂的类别,难以模仿现实世界问题。旨在支持云采用决策过程,我们提出了一种基于模糊认知地图(FCM)的方法,该方法模拟可能影响此类决定的参数。地图的建设和分析是基于相关文献中报告的因素和专家意见的利用。拟议的方法通过四个现实世界的实验案例进行评估,模型的建议与客户的最终决策进行比较。评价表明,该方法能够捕捉参与因素的相互依赖性背后的动态。

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