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改进的VIKOR决策模型在大隆水库汛期水位动态控制中的应用
引用本文:郑玉婷,王丽萍,谢宇韬,阎晓冉,纪昌明.改进的VIKOR决策模型在大隆水库汛期水位动态控制中的应用[J].水电能源科学,2020,38(6):38-41.
作者姓名:郑玉婷  王丽萍  谢宇韬  阎晓冉  纪昌明
作者单位:华北电力大学可再生能源学院,北京102206;华北电力大学可再生能源学院,北京102206;华北电力大学可再生能源学院,北京102206;华北电力大学可再生能源学院,北京102206;华北电力大学可再生能源学院,北京102206
基金项目:国家自然科学基金项目(51709105);“十三五”国家重点研发计划(2016YFC0402208)
摘    要:针对传统VIKOR法在权重确定方面的不足,提出了基于权重搜索技术的VIKOR决策模型,该模型通过改进云模型计算主观权重和critic法计算客观权重,以其作为可行域边界,利用权重搜索技术进行寻优,得到将主客观权重相耦合的综合权重,并输入VIKOR决策模型进行计算。大隆水库汛期运行水位动态控制方案决策结果表明,改进的VIKOR决策模型在权重确定时既考虑了专家主观经验又考虑了客观数据特点,结果兼具全面性和科学性。通过设置不同的决策机制系数可得到决策者处于不同心理下的方案排序结果,在解决了大隆水库汛末蓄水量不足问题的同时,验证了该模型的适用性和可行性。

关 键 词:VIKOR模型  组合权重  多属性决策  汛期运行水位动态控制

Application of Improved VIKOR Decision Model in Water Level Dynamic Control of Dalong Reservoir in Flood Season
Abstract:Aiming at the deficiency of the traditional VIKOR method in weight determination, this paper proposes a VIKOR decision model based on weight search technology. The model calculates the objective weight by improving the subjective weight and the critic method of the cloud model, and uses it as the feasible domain boundary. The weight search technique is used to optimize the weight. The integrated weights that couple the subjective and objective weights are obtained and input into the VIKOR decision model for calculation. The decision making calculation results of the dynamic water level control scheme of the Dalong Reservoir during the flood season indicate that the improved VIKOR decision model considers both the subjective experience of the expert and the objective data characteristics when determining the weight. The result is both comprehensive and scientific. By setting different decision making mechanism coefficients, the ranking results of decision makers under different psychology can be obtained. The problem of insufficient water storage at the end of Dalong Reservoir is solved, and the applicability and feasibility of the model are verified.
Keywords:VIKOR model  combination weight  multiple attribute decision  dynamic control of water level in flood season
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