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A decision making framework under intuitionistic fuzzy environment for solving cloud vendor selection problem

机译:云供应商选择问题的直觉模糊环境下的决策框架

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This paper proposes a new scientific ranking framework for optimal selection of cloud vendor(CV) for the organization. For this purpose, a set of target dimensions for cloud computing from customer point of view are defined, based on expert reviews, international literature reviews and cloud provider market analysis. This study proposes intuitionistic fuzzy group decision making (IF-GDM) approach with intuitionistic fuzzy analytic hierarchy process(IF-AHP) for effective cloud vendor selection. In the previous approaches, IF-AHP was mainly used to determine the criteria weights and ranking was performed using other intuitionistic fuzzy based ranking schemes. All these schemes ignored to verify the consistency of the decision matrices which led to unrealistic preference orders. To alleviate such issue, in this paper, a new ranking framework with IF-AHP is proposed to provide both pair-wise comparison as well as consistency check for decision matrices. A case study of cloud vendor selection is demonstrated to verify the strength of the proposed framework.
机译:本文提出了一种用于组织云供应商(CV)的最佳选择一个新的科学的排名框架。为此,一组云从客户的角度出发计算目标尺寸的定义,根据专家评测,国际文学评论和云服务提供商的市场分析。这项研究提出了有效的云供应商的选择直觉模糊群决策(IF-GDM)与直觉模糊层次分析法(IF-AHP)的方法。在前面的方法中,IF-AHP主要用于确定准则权重,并使用其他直觉模糊基于排名方案进行排名。所有这些方案忽略验证决策矩阵导致不切实际的优先顺序的一致性。为了缓解这样的问题,在本文中,与IF-AHP新排名的框架,提出以提供成对比较以及一致性检查的决策矩阵。云供应商选择的案例研究证明验证了该框架的强度。

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