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首页> 外文会议>International Conference on Applications and Techniques in Cyber Intelligence >A Hybrid Dynamic Multi-criteria Decision Making Model Based on Interval Bipolar 2-Tuple Linguistic Terms for Supplier Selection
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A Hybrid Dynamic Multi-criteria Decision Making Model Based on Interval Bipolar 2-Tuple Linguistic Terms for Supplier Selection

机译：一种基于间隔双极性2元组语言语言选择的混合动态多标准决策模型

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摘要

Supplier selection problem in dynamic context faces different challenges, such as fuzzy information, missing evaluation values, alternatives, attributes, the importance of attributes may vary with time, and the inconsistency of rankings caused by high static values and low dynamic values of newly added alternatives. Firstly, interval bipolar 2-tuple linguistic terms are used to deal with the problem of fuzzy information and missing evaluation values. Secondly, a linear programming (LP) model is used to dynamically allocate attribute weights to solve the problem that alternatives, attributes, and the importance of attributes may vary with time. Furthermore, dynamic time weights are proposed to solve the inconsistency problem of rankings caused by high static values and low dynamic values of newly added alternatives. Finally, a practical supplier selection case to illustrate the efficiency and feasibility of the proposed model is presented together with a comparison against the static model.
机译：在动力方面供应商的选择问题，面临着不同的挑战，如模糊信息，缺少评价值，替代，属性，属性的重要性可能会随时间而变化，并引起新添加的替代品的高静态值和低动态值排名的不一致。首先，使用间隔双极2元组语言语语言术语来处理模糊信息的问题和缺少的评估值。其次，线性编程（LP）模型用于动态分配属性权重，以解决备选方案，属性和属性的重要性可能随时间而变化。此外，提出了动态时间权重来解决由高静态值和新添加替代方案的低动态值引起的排名的不一致问题。最后，实用的供应商选择案例来说明所提出的模型的效率和可行性以及与静态模型的比较一起呈现。

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