熵模糊物元分析法在水库正常高水位决策中的应用

Application of information entropy fuzzy matter-element method in decision of normal high water level of reservoirs

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.