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一种新的非线性模糊自适应变权重组合预测模型
引用本文:鄂加强,王耀南,龚金科,李春生.一种新的非线性模糊自适应变权重组合预测模型[J].模糊系统与数学,2006,20(4):123-127.
作者姓名:鄂加强  王耀南  龚金科  李春生
作者单位:1. 湖南大学,电气与信息工程学院,湖南,长沙,410082;湖南大学,机械与汽车工程学院,湖南,长沙,410082
2. 湖南大学,电气与信息工程学院,湖南,长沙,410082
3. 湖南大学,机械与汽车工程学院,湖南,长沙,410082
基金项目:国家自然科学基金资助项目(60375001)
摘    要:对于复杂工业系统非线性时间序列预测精度不高问题,引入了多种预测方法的预测相对误差、预测对象的变化趋势、灰色基本权重和自适应调节系数等概念,建立了模糊自适应变权重非线性组合预测模型。结果表明,此模糊自适应变权重非线性组合预测模型的精度较高,并且平均误差和预测平方根误差均较小。该组合预测模型为复杂非线性工业系统所需决策提供了有力支持。

关 键 词:非线性组合预测  模糊自适应变权重方法  预测相对误差  自适应调节系数
文章编号:1001-7402(2006)04-0123-05
收稿时间:2005-07-01
修稿时间:2006-01-17

A New Nonlinear Combined Forecasting Model Based on Method of Fuzzy Adaptive Variable Weight
E Jia-qiang,WANG Yao-nan,GONG Jin-ke,LI Chun-sheng.A New Nonlinear Combined Forecasting Model Based on Method of Fuzzy Adaptive Variable Weight[J].Fuzzy Systems and Mathematics,2006,20(4):123-127.
Authors:E Jia-qiang  WANG Yao-nan  GONG Jin-ke  LI Chun-sheng
Institution:1. College of Electrical and Informational Engineering,Hunan University,Changsha 410082,China; 2. College of mechanical and automotive Engineering,Hunan University,Changsha 410082,China
Abstract:As for the low forecasting precision problem about nonlinear time series in complex industry system,a nonlinear combined forecasting model was established by using of the conception such as the relative error,the tendency of the forecasted object,gray basic weight and adaptive control coefficient due to the method of fuzzy variable weight.The results reveal that the forecasting precision of the nonlinear combined forecasting model is higher than that of some single combined forecasting models.The combined forecasting model is very useful for requirement decision in complex industry system.
Keywords:Nonlinear Combination Forecasting  Method of Fuzzy Adaptive Variable Weight  Relative Error  Adaptive Control Coefficient
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