摘要
有序加权平均(OWA)算子是近年来发展的在多属性决策中用于集结各决策者的偏好信息或方案优选的方法。通过引进诱导有序加权平均(IOWA)算子,提出了以误差平方和为准则新的组合预测模型,给出了IOWA权系数的确定的数学规划方法。该模型能提高组合预测精度,最后的实例分析表明了模型的有效性。
Ordered weighted averaging operators have been developed in recent years, which can aggregate the preference information provided by decision makers or select the desirable alternative. Based on induced ordered weighted averaging(IOWA) operators, a new combination forecasting model is proposed to minimum the sum of square errors. The IOWA weights are calculated by a mathematical programming model. This model helps to improve the combination forecasting accuracy. Finally some examples are illustrated to show the effectiveness of the model.
出处
《预测》
CSSCI
2003年第6期61-65,共5页
Forecasting
基金
国家自然科学基金资助项目(70101003)
安徽省教育厅科研基金资助项目(2002kj022)
关键词
有序加权平均算子
组合预测
数学规划
IOWA operator
combination forecasting
mathematical programming
