武进. 基于大规模群体决策方法的滑坡治理方案选择[J]. 内江师范学院学报, 2024, 39(8): 41-47. DOI: 10.13603/j.cnki.51-1621/z.2024.08.007
    引用本文: 武进. 基于大规模群体决策方法的滑坡治理方案选择[J]. 内江师范学院学报, 2024, 39(8): 41-47. DOI: 10.13603/j.cnki.51-1621/z.2024.08.007
    WU Jin. Selection of landslide treatment alternatives based on LSGDM method[J]. Journal of Neijiang Normal University, 2024, 39(8): 41-47. DOI: 10.13603/j.cnki.51-1621/z.2024.08.007
    Citation: WU Jin. Selection of landslide treatment alternatives based on LSGDM method[J]. Journal of Neijiang Normal University, 2024, 39(8): 41-47. DOI: 10.13603/j.cnki.51-1621/z.2024.08.007

    基于大规模群体决策方法的滑坡治理方案选择

    Selection of landslide treatment alternatives based on LSGDM method

    • 摘要: 为了最大限度地防止滑坡灾害的蔓延,开展治理工作十分重要.由于大量专家与公众可以参与决策过程,因此滑坡灾害治理方案的选择是一个大规模群体决策问题.针对此问题,提出了一种大规模群体决策方法,并将其应用于滑坡治理方案的选择.首先给出了公众评价信息的获取与处理方法,并给出了公众和专家评价信息的融合方法.其次,将模糊数表示的评价值转换为直觉模糊数,得到由直觉模糊数描述的直觉模糊评价决策矩阵.然后,根据此方法对备选方案进行分类和排序,在此方法中,给出了对专家组不合作行为的识别和处理.最后,对参数的敏感性进行了分析,并对该方法的可行性和有效性进行了比较和验证.

       

      Abstract: To prevent the spread of the landslide disaster to the maximum extent, it is particularly important to carry out landslide disaster treatment work. The selection of landslide disaster treatment alternative is a large scale group decision-making (LSGDM) problem because a large number of experts and the general public can all participate in decision-making process. In response to this, A LSGDM method is proposed and applied to the selection of landslide treatment alternatives. First of all, the method of obtaining and handling the public evaluation information is given, and the information fusion approach of the public and experts evaluation information is given. Second, evaluation values represented by fuzzy numbers are converted into intuitionistic fuzzy numbers (IFNs), and the intuitionistic fuzzy evaluation decision matrix described by IFNs is obtained. Then, alternatives classification and ranking are done based on the said method. In this process, the identification and management of non-cooperative behavior from the expert groups are conducted. Finally, the sensitivity of parameters is analyzed, and the feasibility and effectiveness of this method are compared and verified.

       

    /

    返回文章
    返回