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熵模糊物元分析法在水库正常高水位决策中的应用
引用本文:李丽,汪明武.熵模糊物元分析法在水库正常高水位决策中的应用[J].水利水运工程学报,2006,0(4):62-66.
作者姓名:李丽  汪明武
作者单位:1. 合肥工业大学,资源与环境工程学院,安徽,合肥,230009
2. 合肥工业大学,土木建筑工程学院,安徽,合肥,230009
摘    要:基于信息熵理论和模糊物元分析理论,探讨了水库正常高水位的熵模糊物元决策模型.以待选方案与最优方案间的海明贴近度来决策水库正常高水位.在确定评价综合指标信息熵的熵权和专家知识权重的的过程中,充分挖掘待选方案的固有信息和避免个人主观因素的弊端.实例应用表明,该方法有效、可行.

关 键 词:信息熵  模糊物元  决策  水库  正常高水位
文章编号:1009-640X(2006)04-0062-05
收稿时间:2006-05-16
修稿时间:2006年5月16日

Application of information entropy fuzzy matter-element method in decision of normal high water level of reservoirs
LI Li,WANG Ming-wu.Application of information entropy fuzzy matter-element method in decision of normal high water level of reservoirs[J].Hydro-Science and Engineering,2006,0(4):62-66.
Authors:LI Li  WANG Ming-wu
Affiliation:1. School of Resources and Environment Engineering, Hefei University of Technology, Hefei 230009, China; 2. School of Civil Engineering, Hefei University of Technology, Hefei 230009, China
Abstract:Based on the information entropy theory and fuzzy matter-element theory,an information entropy fuzzy matter-element model for normal high water level of reservoirs is described.The optimum normal water level is decided by the Hamming approach degrees of each plan.The natural information of proposed schemes are fully considered and individual subjective factors are avoided in the decision process of weights of evaluation factors such as information entropy weight and expert weight.Results of practical examples show that this method is effective and feasible.
Keywords:information entropy  fuzzy matter-element  decision  reservoir  normal high water level
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