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New Dynamic Group DEMATEL Decision-Making Method Based on Hesitant Fuzzy Linguistic Term Sets

机译:基于犹豫不决的模糊语言术语集的新动态集团Dematel决策方法

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摘要

Decision-making trial and evaluation laboratory (DEMATEL) method is comprehensively applied in the complicated socioeconomic system. Existing literatures on DEMATEL focus on static decision environment at single time node. However, due to the increasingly complex and rapidly changing socioeconomic environment, decision-making has become more complex and dynamic. In this paper, dynamic group DEMATEL method based on hesitant fuzzy linguistic term sets (HFLTSs) is proposed. In the view of the multi-stage, multi-factor and multi-expert complex decision-making situation, the method fully integrates the decision-making information of different periods from the perspective of dynamic evolution mechanism which can effectively link multi rounds DEMATEL decision-making process and reflect the time evolution of dynamic decision-making. Meanwhile, the TOPSIS method is applied to determine the weight of experts, which can effectively solve the influence of the best choice (positive ideal solution) and the worst choice (negative ideal solution) on the decision results in aggregation of group experts' preference information, and fully consider the influence of hesitation and fuzziness of expert preference representation on expert weight. Finally, a numerical comparison is given to verify validity and effectiveness of the proposed approach.
机译:决策试验和评估实验室(Dematel)方法在复杂的社会经济系统中综合应用。 DEMATEL的现有文献侧重于单时间节点静态决策环境。然而,由于社会经济环境日益复杂,迅速变化,决策变得更加复杂和动态。本文提出了基于犹豫不决的模糊语言术语集(HFLTS)的动态组Dematel方法。在多阶段,多因素和多专家复杂的决策情况的看法中,该方法从动态演化机制的角度完全集成了不同时段的决策信息,这可以有效地将多轮脱氮决策联系起来 - 制定流程并反映动态决策的时间演变。同时,应用TOPSIS方法来确定专家的重量,可以有效解决最佳选择(积极理想解决方案)和最糟糕的选择(负理想解决方案)对决策的影响,这导致了集团专家偏好信息的聚合,并充分考虑专家偏好表示对专家重量的影响。最后,给出了数值比较来验证所提出的方法的有效性和有效性。

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