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诱导有序加权平均的组合预测模型及其应用 被引量:14

Combined forecasting model based on induced ordered weighted averaging operator and its application
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摘要 有序加权平均算子是近年来发展的在许多领域有着广泛应用的信息融合方法.本文引进诱导有序加权平均算子的概念,并探讨了它的一些性质,然后建立诱导有序加权平均新的组合预测模型,最后给出其在股票价格预测中的应用研究,实例分析结果表明了该方法的有效性. Ordered weighted averaging (OWA) operator is a kind of information fusion method, which has been developed in recent years and used in a wide range of applications. An induced ordered weighted averaging (IOWA) operator is introduced in this paper, and its some properties are discussed. Then the new combined forecasting model based on induced ordered weighted averaging operator is constructed. Finally forecasting of stock price is also given using this model, and it shows that the model is effective.
出处 《安徽大学学报(自然科学版)》 CAS 北大核心 2005年第1期1-6,共6页 Journal of Anhui University(Natural Science Edition)
基金 中国博士后科研基金资助项目(2004035209) 安徽省教育厅科研基金资助项目(2002kj022)
关键词 诱导有序加权平均 算子 组合预测 股票价格 induced ordered weighted averaging operator combined forecasting stock price
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参考文献3

  • 1Yager R R. On ordered weighted averaging aggregation operators in multicriteria decision making [ J ].IEEE Transactions on Systems, Man, and Cybemetics ,1988,18( 1 ) :183 -190.
  • 2Yager R R. Induced aggregation operators[ J ]. Fuzzy Sets and Systems,2003,137 ( 1 ) :59 - 69.
  • 3Chiclana F, Herrera F, Herrera - Viedma E. Integrating multiplicative preference relations in a multipurpose decision - making based on fuzzy preference relations[ J]. Fuzzy Sets and Systems, 2001,122:277 -291.

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