基于多目标模糊决策的水量水质联合调度方案选择
Plans Selection of Water Quantity and Quality Joint Operation Based on Multi Objective Fuzzy Decision Making Method
DOI: 10.12677/JWRR.2012.14033, PDF, HTML, 下载: 3,043  浏览: 7,819  国家自然科学基金支持
作者: 吴绍飞*, 张 翔*, 邓志民*, 李 良, 阮燕云*:武汉大学水资源与水电工程科学国家重点实验室
关键词: 水量水质联合调度方案选择BP神经网络模型多目标模糊决策Water Quantity and Quality Joint Operation; Plans Selection; BP Neutral Network; Multi Objective Fuzzy Decision Making
摘要: 针对淮河流域水量水质联合调度风险分析问题中的多方案的选择问题,综合考虑两个主要污染物指标高锰酸盐指数指标和氨氮指数指标,分别建立水量水质联合调度BP神经网络高锰酸盐指数模拟模型和氨氮模拟模型,求得上诉两个指标的超标风险率;然后采用多目标模糊决策方法,分别以上述两个指标作为模糊决策的决策目标,以模拟的6个调度方案为模糊决策的决策方案,得到了由6个方案,2个目标组成的目标特征值矩阵,在此基础上建立模糊决策模型,得到了综合考虑高锰酸盐指数指标和氨氮指数指标两个水质指标的决策方案结果,计算得到了方案集相对优等决策的相对隶属度矩阵。结果表明,各决策方案的优劣次序为(324516),认为调度方案3风险率最小,为最优方案。
Abstract: In plans selection of risk analysis of water quantity and quality joint operation in Huaihe River Basin, the BP neutral network simulation models of water quantity and quality joint operation of CODMn and NH3-N, the two main pollutants in Huaihe River Basin, are established to make out the risk rates of both of the two water indexes above. By the method of multi objective fuzzy decision making, The eigenvalues matrix is worked out, which consists of 6 simulated plans as the scheme, and those 2 indexes as the objects, Then the fuzzy decision making model is established, which is employed to choose the best plan of the six plans. From the above, the relative membership matrix of the six plans series is received. Result shows that the order of priority of the six scheme are (3, 2, 4, 5, 1, 6), the third operational plan whose risk rate is the smallest among six plans, and then is considered as the optimal plan.
文章引用:吴绍飞, 张翔, 邓志民, 李良, 阮燕云. 基于多目标模糊决策的水量水质联合调度方案选择[J]. 水资源研究, 2012, 1(4): 234-238. http://dx.doi.org/10.12677/JWRR.2012.14033

参考文献

[1] 陈守煜. 水环境污染系统规划的模糊非线性规划模型[J]. 水利学报, 1994, 12: 21-30. CHEN Shouyu. Fuzzy nonlinear optimization model for planning of water environmental pollution systems. Journal of Hydraulic Engineering, 1994(1): 21-30. (in Chinese)
[2] 浅居喜代治. 模糊系统理论入门[M]. 北京: 北京师范大学出版社, 1982, 4: 200-204. ASAKAI Kiyoji, et al. Introduction to the theory of fuzzy sys- tem. Beijing: Beijing Normal University Press, 1982, 4: 200-204. (in Chinese)
[3] 侯召成, 陈守煜. 水库防洪调度多目标模糊群决策方法[J]. 水利学报, 2004, 12: 1-8. HOU Zhaocheng, CHEN Shouyu. Multi-objective fuzzy group decision-making method for reservoir flood control operation. Journal of Hydraulic Engineering, 2004, 12: 1-8. (in Chinese)
[4] 李登峰, 陈守煜. 时序多目标决策的模糊优选法[J]. 系统工程与电子技术, 1994, 3: 12-18. LI Dengfeng, CHEN Shouyu. A fuzzy optimum seeking method for multiple objective decision making with time series. Systems Engineering and Electronics, 1994, 3: 12-18. (in Chinese)
[5] 陈守煜. 多目标决策系统模糊优选理论、模型与方法[J]. 华北水利水电学院院报, 2001, 22(3): 136-140. CHEN Shouyu. A fuzzy optimum theory, model and approach for multi objective decision making systems. Journal of North China Institute of Water Conservancy and Hydroelectric Power, 2001, 22(3): 136-140. (in Chinese)
[6] 邹进, 张勇传. 一种多目标决策问题的模糊解法及在洪水调度中的应用[J]. 水利学报, 2003, 1: 119-122. ZOU Jin , ZHANG Yongchuang. A fuzzy-logic-based approach to multi-objective decision making and its application in flood dispatching. Journal of Hydraulic Engineering, 2003, 1: 119-122. (in Chinese)
[7] 高学民, 陈静生, 王立新. BP网络应用于长江水质研究[J]. 环境科学研究, 2001, 14(1): 49-52. GAO Xuemin, CHEN Jingsheng and WANG Lixin. Applying BP neutral network to study water quality of the Yangtze River. Research of Environmental Sciences, 2001, 14(1): 49-52. (in Chinese)