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.
Based on the information entropy theory and fuzzy matter-element theory, an information entropy fuzzy matterelement 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.
出处
《水利水运工程学报》
CSCD
北大核心
2006年第4期62-66,共5页
Hydro-Science and Engineering
关键词
信息熵
模糊物元
决策
水库
正常高水位
information entropy
fuzzy matter-element
decision
reservoir
normal high water level