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中国管理科学 ›› 2015, Vol. 23 ›› Issue (9): 146-152.doi: 10.16381/j.cnki.issn1003-207x.2015.09.018

• 论文 • 上一篇    下一篇

GM(1,1)模型背景值的优化

江艺羡, 张岐山   

  1. 福州大学经济与管理学院, 福建 福州 350108
  • 收稿日期:2013-12-17 修回日期:2014-07-21 出版日期:2015-09-20 发布日期:2015-09-28
  • 作者简介:江艺羡(1983-),女(汉族),福建漳州人,福州大学经济与管理学院,在读博士生,研究方向:灰色系统、人工智能、数据挖掘.
  • 基金资助:

    国家自然科学基金资助项目(70871024);福建省自然科学基金面上资助项目(2010J01358)

Dynamic Pricing with Consumers' Double-entry Mental Accounting and Reference Effects

JIANG Yi-xian, ZHANG Qi-shan   

  1. School of Economics and Management, Fuzhou University, Fuzhou 350108, China
  • Received:2013-12-17 Revised:2014-07-21 Online:2015-09-20 Published:2015-09-28

摘要: 背景值是影响GM(1,1)模型精度的关键因素之一。当前背景值优化的改进模型均取得较好的效果,但优化后的背景值公式多数比较繁琐,并且部分优化模型不适用于高增长型序列。本文根据模型的指数性质以及积分特点,分析背景值的构造原理,利用黎曼积分的核心思想,提出以不规则梯形面积取代传统梯形面积构造法,对传统GM(1,1)模型背景值进行优化。通过实验验证了新模型具有白指数律重合性,不仅适用于低增长指数序列,亦适用于高增长指数序列,并且优化公式简单,具有较高的实用性与可靠性。

关键词: GM(1, 1)模型, 背景值, 初始值, 参数优化

Abstract: The background value is one of the key factors influencing the accuracy of GM(1,1) model.The improved models by optimizating background value are effective at present.But a lot of the optimized formulas are complicated and part of them are also not suitable for the high growth series.According to the exponential properties and intergral characteristics of model, the structure principle of background value is analyzed, and a new construction method is proposed in this paper using the irregular trapezoid to replace the traditional one based on the core idea of Riemann integral,so as to achieve optimizing model.The test results showed that the optimized model possessed white exponential law coincidence property,it could be applied to low-rising exponential series,and also could be the same with high-rising one.Thus,the test verified the improved GM(1,1) model with simpler formula was higher in practicality and reliability.

Key words: model GM(1,1), background value, initial value, parameters optimization

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