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自然灾害风险识别系统是由众多自然因素和社会经济因素组成的复杂系统 ,其主要问题之一就是如何将有关定性风险因素定量化。为此 ,本文进一步探讨了层次分析法用于自然灾害风险识别系统的具体途径。直接从判断矩阵的定义出发 ,提出了基于加速遗传算法的层次分析法 (AGA AHP)。利用该法 ,可同时确定层次各元素相对重要性的排序权值和进行判断矩阵的一致性检验。理论分析和实例分析的初步结果说明 ,AGA AHP法直观、可行而有效 ,其计算结果精度高于目前常用的基于特征根的层次分析法的相应结果 ,在各种自然灾害复杂系统分析中具有重要的理论意义和广泛的应用价值。
Natural disaster risk identification system is a complex system composed of many natural and socio-economic factors. One of the major problems is how to quantify the qualitative risk factors. Therefore, this article further explores the specific ways AHP uses in natural disaster risk identification system. Starting directly from the definition of the judgment matrix, an analytic hierarchy process (AGA AHP) based on accelerated genetic algorithm is proposed. Using this method, we can determine the weight of the relative importance of each element of the hierarchy and test the consistency of the judgment matrix. The preliminary results of theoretical analysis and case analysis show that the AGA AHP method is intuitive, feasible and effective. The accuracy of the proposed method is higher than that of the existing eigen-based AHP, which is important in the analysis of complex systems of natural disasters The theoretical significance and extensive application value.