Computer Engineering and Applications ›› 2015, Vol. 51 ›› Issue (3): 50-54.

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Combination forecasting model based on Induced Ordered Weighted Continuous Generalized Ordered Weighted Averaging operator

JIANG Lihui1, CHEN Huayou2, DING Fangqing1, CHENG Linghua1   

  1. 1.Department of Mathematics and Physics, Hefei University, Hefei 230601, China
    2.School of Mathematical Science, Anhui University, Hefei 230601, China
  • Online:2015-02-01 Published:2015-01-28

基于IOWC-GOWA算子的区间组合预测模型

江立辉1,陈华友2,丁芳清1,程玲华1   

  1. 1.合肥学院 数学与物理系,合肥 230601
    2.安徽大学 数学科学学院,合肥 230601

Abstract: The Induced Ordered Weighted Continuous Generalized Ordered Weighted Averaging operator is defined based on the IOWA operator and the C-GOWA operator. This paper builds a new combined forecasting model based on IOWC-GOWA operator and exponential supporting degree. It is shown that the model can improve the accuracy of combination forecasting effectively by an example calculation.

Key words: Continuous Generalized Ordered Weighted Averaging(C-GOWA) operators, Induced Ordered Weighted Continuous Generalized Ordered Weighted Averaging(IOWC-GOWA) operators, exponential supporting degree, combination forecasting

摘要: 在连续区间数广义有序加权平均(C-GOWA)算子基础上,将IOWA算子和C-GOWA算子相结合,提出诱导有序加权连续区间广义有序加权平均(IOWC-GOWA)算子的概念。以指数支撑度作为相关性指标,构建新的组合预测模型。通过实例分析说明该模型能有效提高预测精度。

关键词: 连续区间数广义有序加权平均(C-GOWA)算子, 诱导有序加权连续区间广义有序加权平均(IOWC-GOWA)算子, 指数支撑度, 组合预测