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基于模糊灰色聚类-组合赋权的病险水库康复度综合评价方法
引用本文:刘冲,沈振中,甘磊,熊素繁,鲁剑.基于模糊灰色聚类-组合赋权的病险水库康复度综合评价方法[J].水利水电科技进展,2018,38(3):36-41.
作者姓名:刘冲  沈振中  甘磊  熊素繁  鲁剑
作者单位:河海大学水文水资源与水利工程科学国家重点实验室;江西省宜春市水利局
基金项目:国家自然科学基金(51609073);江西省水利科技项目(KT201545);江苏高校优势学科建设工程(水利工程)(YS11001)
摘    要:针对目前除险加固后病险水库康复度难以准确评价的问题,构建了两层评价指标体系,结合模糊灰色聚类和组合赋权法对病险水库康复度进行量化评价。基于熵权法和层次分析法分别计算各康复类型评价指标的主、客观权重,采用组合赋权法将主、客观权重进行组合,得到能反映主客观影响的组合权重;采用灰色聚类法评价水库各康复类型的康复度,依据病险水库各康复类型聚类系数及组合权重创建综合评价的模糊判断矩阵,依据模糊判断矩阵由熵权法和层次分析法求出各康复类型的权重后采用组合赋权法进行组合,最终采用模糊综合评价法评估病险水库除险加固后的康复度。将该方法用于3座病险水库康复度评价,评价结果与水库除险加固实际情况及验收结论吻合,表明该方法具有一定的工程应用价值。

关 键 词:病险水库  康复度  模糊综合评价  熵权法  组合赋权  灰色聚类
收稿时间:2017/5/15 0:00:00

Comprehensive evaluation of rehabilitation degree of dangerous reservoirs based on fuzzy gray clustering and combination weighting method
LIU Chong,SHEN Zhenzhong,GAN Lei,XIONG Sufan and LU Jian.Comprehensive evaluation of rehabilitation degree of dangerous reservoirs based on fuzzy gray clustering and combination weighting method[J].Advances in Science and Technology of Water Resources,2018,38(3):36-41.
Authors:LIU Chong  SHEN Zhenzhong  GAN Lei  XIONG Sufan and LU Jian
Affiliation:State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China,State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China,State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China,Yichun Water Conservancy Bureau, Yichun 336000, China and Yichun Water Conservancy Bureau, Yichun 336000, China
Abstract:Forthe problem that the rehabilitation degree of dangerous reservoirs is difficult to be accurately evaluated, a two-layer index system was established. The fuzzy gray clustering and combination weighting method are combined to quantitatively evaluate the rehabilitation degree of reservoirs. Firstly, the subjective and objective weights of each evaluation index are calculated by entropy method and analytic hierarchy process, and a combination weight containing subjective and objective implications is obtained using the combination weighting method. Secondly, the gray clustering method is used to evaluate the rehabilitation degree of each rehabilitation type. The clustering coefficient of each rehabilitation type is adopted to create the fuzzy evaluation matrix, and then the weight of each rehabilitation type is calculated. Finally, the comprehensive evaluation method is utilized to accurately assess the rehabilitation degree of dangerous reservoirs after reinforcing. The method is applied to the reinforcement assessment of three reservoirs in Henan and Jiangxi Province and the results agree well with the practical situation of the reinforcement assessment and the acceptance conclusions, indicating a great value in engineering applications.
Keywords:dangerous reservoir  rehabilitation degree  fuzzy comprehensive evaluation  entropy method  combination weighting  gray clustering
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