[1]缪成晨,王忠凯,盖永伟.基于博弈论原理的PP-AHP权重优化模型在河流健康评价中的应用[J].江苏水利,2024,(04):25-30.
　MIAO Chengchen,WANG Zhongkai,GAI Yongwei.Application of PP-AHP weight optimization model on river health evaluation based on game theory principle[J].JIANGSU WATER RESOURCES,2024,(04):25-30.
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基于博弈论原理的PP-AHP权重优化模型在河流健康评价中的应用()
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《江苏水利》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2024年04期
页码:
25-30
栏目:
水生态与环境
出版日期:
2024-04-15

文章信息/Info

Title:
Application of PP-AHP weight optimization model on river health evaluation based on game theory principle
文章编号:
1007-7839（2024）04-0025-0006
作者:
缪成晨1; 王忠凯2; 盖永伟3
（1. 扬州市水利发展中心，江苏 扬州 225000；2. 扬州市水利局，江苏 扬州 225000；3. 江苏省水资源服务中心，江苏 南京 210000）
Author(s):
MIAO Chengchen1;  WANG Zhongkai2;  GAI Yongwei3
（1. Yangzhou Water Development Centre, Yangzhou 225000, China；2. Yangzhou Water Conservancy Bureau, Yangzhou 225000, China；3. Water Resources Service Center of Jiangsu Province, Nanjing 210000, China）
关键词:
河流健康评价; 评价方法; 投影寻踪法; 层次分析法; 权重优化
Keywords:
river health evaluation;  evaluation method;  projection pursuit method;  analytic hierarchy process;  weight optimization
分类号:
X826；TV21
文献标志码:
A
摘要:
为了解决传统层次分析法在指标权重赋值中主观意识影响过大导致河流健康评价结果具有较强主观随意性的问题，本文利用客观性较强的投影寻踪法来改进层次分析法，综合考虑主客观影响，通过博弈论原理对指标权重进行优化，并运用优化模型权重对扬州市城区三条城市河流进行了丰枯期健康评价。结果表明：优化后的权重能综合主、客观权重的特点，使评价结果更加合理；在进行权重优化的过程中，得到最优加权系数分别为0.5435、0.4565。为了简化权重处理步骤，同时选取0.5、0.5作为加权系数进行等权处理，该处理对评价结果影响较小，可为今后河流建康评价中的主客观权重耦合提供一定的参考。
Abstract:
In order to solve the problem that subjective consciousness would significantly affects the index weight assignment of traditional analytic hierarchy process resulting in a subjective and arbitrary evaluation result. In this paper, the projection pursuit method with strong objectivity is used to improve the analytic hierarchy process, which can comprehensively consider the subjective and objective influence. The index weight is optimized based on the principle of game theory, and the health evaluation of three urban rivers in Yangzhou City in wet and dry seasons is carried out by the optimization model weight. The results show that the optimized weight can synthesize the characteristics of the subjective and objective weights, making the evaluation results more reasonable; In the process of weight optimization, the optimization coefficients are 0.5435 and 0.4565, respectively. In order to simplify the weight processing steps, 0.5 and 0.5 are selected as optimization coefficients for equal weight processing, which has little impact on the evaluation results, and can provide a certain reference for the coupling of subjective and objective weights in the evaluation of river health in the future.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期：2024-02-19
作者简介：缪成晨（1989—），男，工程师，主要研究方向为水资源管理与节约保护。E-mail：944238950@qq.com
更新日期/Last Update: 2024-04-15