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Selecting Visualization Alternative Based on Uncertain Theory

机译：基于不确定理论的可视化选择

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Multiple attribute decision making (MADM) is an efficient way to solve complex systems, and has wide application. This research develops MCDM model based on uncertain theory, used for selecting a suitable visualization alternative for tourism. First, in order to achieve desirable decision making, a new concept is proposed, which is called the best and the worst reference uncertain linguistic variable as a datum uncertain linguistic variable. At the same time, a new method for ranking uncertain linguistic variable is also presented. Second, based on the preference order relation of attributes given by the experts, a new score function is introduced to get the weight vector of attributes. Finally, the evaluation system of tourism big data visualization alternatives is constructed and the order of those alternatives is acquired by the decision method.
机译：多属性决策（MADM）是解决复杂系统的有效方法，具有广泛的应用前景。这项研究基于不确定性理论开发了MCDM模型，用于为旅游业选择合适的可视化替代方案。首先，为了实现理想的决策，提出了一个新概念，称为最佳和最差参考不确定性语言变量作为基准不确定性语言变量。同时，提出了一种对不确定语言变量进行排序的新方法。其次，根据专家给出的属性的偏好顺序关系，引入一个新的得分函数来获得属性的权重向量。最后，构建了旅游大数据可视化方案评价体系，并通过决策方法获得了方案的排序。

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