A Multi-combination Subjective and Objective Uniform Optimal Weighted Risk Evaluation Method

Abstract

The invention discloses a multi-combination subjective and objective uniform optimization weighting risk evaluation method. Aiming at the risk characteristics of the evaluation subject object, a risk evaluation index system with a three-layer hierarchical structure such as the target layer, the criterion layer and the index layer is established; multiple Subjective weighting evaluation method, calculate the subjective weight of risk evaluation indicators; consider multiple objective weighting evaluation methods, calculate the objective weight of risk evaluation indicators; calculate the subjective and objective uniform optimization weight of evaluation indicators, comprehensive optimization of each evaluation index corresponding to the overall goal The weight vector is used to calculate the comprehensive risk degree. According to the calculation results of the comprehensive weight of the evaluation indicators by different methods, the corresponding weighted sum of the index weight and the data standard value is obtained to obtain the risk degree of ice plugging and ice dam susceptibility of different evaluation units. Compared with the prior art, the evaluation result of the present invention is more reasonable and reliable, and is applicable to the optimization calculation and rationality evaluation of the risk of flood control and landslide prevention, and can provide important technical support for flood risk management.

Description

technical field [0001] The invention relates to the field of flood control and disaster reduction, in particular to a multi-combination subjective and objective uniform optimization weighted risk evaluation method. Background technique [0002] The risk assessment of water conservancy project operation safety and flood control is of great significance to flood risk management and command decision-making. At present, many risk assessment methods have been formed, which are mainly divided into subjective methods, objective methods and combined weighted evaluation methods. Conventional weighted methods Evaluation methods include analytic hierarchy process, fuzzy analytic hierarchy process, variation coefficient method and entropy weight method, etc. More research results are about the combination optimization of different subjective and objective methods, and a more practical evaluation method is proposed. However, the current combined weighting methods still have shortcomings ...

AI Technical Summary

Problems solved by technology

However, the current combined weighting methods still have shortcomings in how to balance the subjective factors of personal experience and the objective differences of actual sample data, and it is difficult to achieve uniform and rational weight distribution with practical significance

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