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Multi-expert disaster risk management & response capabilities assessment using interval-valued intuitionistic fuzzy sets

机译：多专家灾害风险管理和响应能力使用间隔值直觉模糊集进行评估

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This study focuses on the evaluation of disaster risk management and response (DRMR) processes and capabilities using a multi-expert multi-criteria decision making (MCDM) framework. The proposed framework considers four sets of evaluation and performance criteria: risk knowledge and organization, risk reduction, disaster response management, and disaster response support; and 22 sub-criteria such as regulating risk management, financial management, energy, and public safety. To contend with random perception and utility, lack of information and subjectivity in the human (expert) judgment processes that could be present in expert-based models, the authors propose an interval-valued intuitionistic fuzzy sets (IVIFSs) approach. IVIFSs can handle high levels of uncertainty and define appropriate membership functions. Specifically, the proposed approach incorporates score judgement and possibility degree matrices, and estimates the local and global weights for each assessment criteria. And finally, evaluates the overall performances of the alternatives using intuitionistic fuzzy Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) approach. The authors implemented the framework to the Atlantico State of Colombia, and assessed the disaster risk management and response processes for each for the State's 23 municipalities. The authors discuss sensitivity analysis that illustrates the robustness of the results.
机译：本研究侧重于使用多专家的多标准决策（MCDM）框架评估灾害风险管理和响应（DRMR）流程和能力。拟议的框架考虑了四套评估和绩效标准：风险知识和组织，风险降低，灾害响应管理和灾害响应支持;和22个子标准，如规范风险管理，财务管理，能源和公共安全。为了应对随机感知和实用，作者提出了一种以专家的模型中存在的人（专家）判断过程中的信息和主体性，提出了间隔值的直觉模糊集（IVIFSS）方法。 IVIF可以处理高水平的不确定性并定义适当的隶属函数。具体地，所提出的方法包括评分判断和可能性度矩阵，并估计每个评估标准的本地和全局权重。最后，评估使用直觉模糊技术的替代方案的总体性能，以便通过相似性与理想解决方案（Topsis）方法的顺序偏好。该作者实施了哥伦比亚阿特拉西亚国州的框架，并评估了该州23个市政当局的灾害风险管理和响应流程。作者讨论了敏感性分析，说明了结果的稳健性。

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