中国科学技术大学学报 ›› 2019, Vol. 49 ›› Issue (9): 751-761.DOI: 10.3969/j.issn.0253-2778.2019.09.008

• 原创论文 • 上一篇    下一篇

基于TOPSIS的最大贴近度的最优组合预测模型及其性质

王自成   

  1. 安徽大学数学科学学院,安徽合肥 230601
  • 收稿日期:2018-12-25 修回日期:2019-04-10 出版日期:2019-09-30 发布日期:2019-09-30
  • 通讯作者: 陈华友
  • 作者简介:王自成,男,1995年生,硕士生.研究方向:运筹与管理.E-mail: 877871622@qq.com
  • 基金资助:
    国家自然科学基金(71871001, 71771001, 71701001, 71501002)资助.

An optimal combination forecasting model based on maximum closeness of TOPSIS and its properties

WANG Zicheng   

  1. School of Mathematical Sciences, Anhui University, Hefei 230601, China
  • Received:2018-12-25 Revised:2019-04-10 Online:2019-09-30 Published:2019-09-30

摘要: TOPSIS方法是一种常见的决策方法.将其作为一种新的预测精度的准则,引入正理想点序列、负理想点序列等概念,构建了基于TOPSIS的最大贴近度准则的最优组合预测模型.针对该模型,定义了新的非劣性组合预测、优性组合预测、冗余预测方法、预测方法优超等概念,研究了模型的若干数学性质,从理论上阐述了最优组合预测的优越性.最后给出实例分析,并和其他组合预测模型进行了对比分析,结果表明提出的组合预测模型是可行有效的.

关键词: 逼近理想解排序法, 贴近度, 组合预测, 数学性质

Abstract: Technique for order preference by similarity to ideal solution (TOPSIS) is a common decision-making method. Here it was used as a new criterion for forecasting accuracy. Based on the concepts of positive ideal point sequence and negative ideal point sequence, the optimal combination forecasting model was constructed based on the criterion of maximizing closeness degree in the TOPSIS model. Based on this model, some new concepts were defined, such as the non-inferior combination forecasting, superior combination forecasting, redundant forecasting method and dominant forecasting method. Mathematical properties of this model were studied, in which the advantages of optimal combination forecasting were expounded theoretically. Finally, an example was given and was compared with other combined forecasting models. The results show that the combined forecasting model is feasible and effective.

Key words: TOPSIS, closeness degree, combination forecasting, mathematical properties