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首页> 外文期刊>Natural Hazards >Risk identification on hydropower project using the IAHP and extension of TOPSIS methods under interval-valued fuzzy environment
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Risk identification on hydropower project using the IAHP and extension of TOPSIS methods under interval-valued fuzzy environment

机译：区间值模糊环境下基于IAHP的水电工程风险识别和TOPSIS方法的扩展。

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摘要

Risk identi?cation on hydropower project, the ?rst step of risk management process, is an extremely complex issue and has a signi?cant impact on the ef?ciency of the following risk assessment and control. On the other hand, ?nding out some more possible risk factors among many risk ones is a multi-criteria decision making problem. This paper develops an evaluation model based on the interval analytic hierarchy process (IAHP) and extension of technique for order preference by similarity to ideal solution (TOPSIS), to identify exactly the more possible risk factors under a complex and fuzzy environment. In this paper, the IAHP is used to analyze the structure of risk identi?cation problems in hydropower project and to determine weights of the criteria and decision makers, and extension of TOPSIS method with interval data is used to obtain ?nal ranking of potential risk factors in hydropower project. Risk identi?cation on an earth dam is conducted to illustrate the utilization of the model proposed in this paper. The application could be interpreted as demonstrating the effectiveness and feasibility of the proposed model.
机译：水电项目的风险识别是风险管理过程的第一步，是一个极为复杂的问题，对后续风险评估和控制的效率产生重大影响。另一方面，在许多风险因素中找出更多可能的风险因素是一个多准则决策问题。本文建立了一个基于区间分析层次过程（IAHP）和订单扩展技术的评估模型，该模型通过与理想解决方案的相似性（TOPSIS）进行相似性确定，以准确识别复杂和模糊环境下的更多可能风险因素。在本文中，IAHP用于分析水电项目中风险识别问题的结构，确定标准和决策者的权重，并使用具有区间数据的TOPSIS方法扩展来获得潜在风险的最终排名。水电项目的影响因素。进行了土坝风险识别，以说明本文提出的模型的使用。该应用程序可以解释为证​​明了所提出模型的有效性和可行性。

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