大群体应急决策中考虑属性关联的偏好信息融合方法
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中南大学商学院

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C934

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国家自然科学基金项目(面上项目,重点项目,重大项目)


An preference information fusion method of large groups emergency decision-making based on attributes association
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School of Business, Central South University

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    摘要:

    针对大群体应急决策中属性之间相互关联的问题,本文提出一种新的偏好信息融合方法。首先,利用最优离散拟合模型测度专家的风险偏好,提出一种考虑专家风险偏好的犹豫模糊元补充方法;其次,运用TF-IDF算法获得相互关联的事件属性集;然后,结合传统的主成分分析法与误差理论,提出基于犹豫模糊语言的主成分分析模型,获得几个互不关联的主属性及其权重,进而进行信息集结和方案择优;最后,通过广西洪涝灾害事件验证所提方法的可行性和有效性。

    Abstract:

    A new method of preference information fusion is proposed to solve the problem of attribute correlation in large group emergency decision making. Firstly, the optimal discrete fitting model is used to measure the risk preference of experts, and proposes a hesitant fuzzy meta-supplement method considering the risk preference of experts. Secondly, TF-IDF algorithm is used to obtain the interrelated event attribute set. Then, combining the traditional principal component analysis method and error theory, a principal component analysis model (PCA) based on hesitating fuzzy language is proposed to obtain several unrelated principal attributes and their weights, and then information aggregation and alternatives selection are carried out. Finally, the feasibility and effectiveness of the proposed method are verified by the flood disaster in Guangxi.

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  • 收稿日期:2020-02-07
  • 最后修改日期:2020-05-27
  • 录用日期:2020-05-29
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