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A novel hybrid decision-making model for team building in cloud service environment

机译：云服务环境中团队建设的一种新型混合决策模型

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摘要

Cloud environment is associated with people and it has become a hot research topic owing to its characteristics of smartness. An increasing number of service providers is clustered in the cloud environment. However, the study of optimal selection of service team has not been extensively studied. To solve the problem of optimal decision-making for service team in the cloud environment, a novel hybrid decision-making approach based on improved rough set theory is proposed. There are three steps in the improved approach. First, the relationship between user requirements and team elements is analysed using the least squares method and quantification theory, and an evaluation index system for the virtual team based on user's personalised needs is constructed. Second, by combining the rough set theory and intuitionistic fuzzy number, the weight of evaluation index of the virtual team is determined. Third, a decision-making system based on the rough approximation method is developed to compare and rank the alternatives. The concepts of rough boundary and rough number are introduced to express more integrated information in handling vagueness and uncertainty. Finally, the validity and feasibility of this method are verified using the example of building a virtual team in a cloud service environment.
机译：云环境与人有关，由于其智能性的特征，它已成为一个热门的研究主题。越来越多的服务提供商在云环境中群集。但是，对服务团队的最佳选择的研究尚未得到广泛研究。为了解决云环境中服务团队的最佳决策问题，提出了一种基于改进粗糙集理论的新型混合决策方法。改进方法有三个步骤。首先，使用最小二乘法和量化理论分析用户需求和团队元素之间的关系，构建了基于用户个性化需求的虚拟团队的评估指标系统。其次，通过组合粗糙集理论和直觉模糊数，确定了虚拟团队的评估指数的权重。第三，开发了一种基于粗略近似方法的决策系统来比较和排列替代方案。介绍了粗糙边界和粗略数量的概念，以表达处理模糊和不确定性的更多综合信息。最后，使用在云服务环境中构建虚拟团队的示例来验证此方法的有效性和可行性。

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