A Research on Grey Model by Grey Interval Analysis

IF 1 4区 工程技术 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Journal of Grey System Pub Date : 2006-12-01 DOI:10.30016/JGS.200612.0004
GuoDong Li, D. Yamaguchi, M. Nagai, M. Kitaoka
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引用次数: 1

Abstract

Grey Model (GM) based on grey system theory has already been established as a prediction model in 1982. At present, it has been applied to many fields. However, in the traditional GM, the calculation methods of derivative value d(superscript n) x/dt(superscript n) and background value z are obtained by the analysis of observed white value. Therefore, it influenced the calculation of coefficient â and the prediction accuracy of the traditional GM is unsatisfied. Especially, the prediction accuracy falls in case of the multi-variable or multi-dimensional greatly. In this paper, a new calculation method of derivative value d(superscript n) x/dt(superscript n) and background value z is proposed according to cubic spline function and Taylor approximation method and it is analyzed by grey interval analysis. We obtain the new calculation method of coefficient â by the proposal GM, and this new model is defined as T-3spGM. We present two specific examples; the prediction accuracy of proposal model is verified. As the results, we report that the prediction accuracy of the proposal new model was raised greatly.
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基于灰色区间分析的灰色模型研究
基于灰色系统理论的灰色模型(Grey Model, GM)作为预测模型早在1982年就已建立。目前,它已被应用于许多领域。而在传统的GM中,导数值d(上标n) x/dt(上标n)和背景值z的计算方法是通过对观测到的白值进行分析得到的。因此,影响了系数的计算,传统的遗传算法预测精度不理想。特别是在多变量或多维的情况下,预测精度会大大下降。本文根据三次样条函数和泰勒逼近法,提出了导数值d(上标n) x/dt(上标n)和背景值z的新计算方法,并用灰色区间分析法对其进行了分析。通过提出的GM得到了新的系数计算方法,并将该模型定义为T-3spGM。我们举两个具体的例子;验证了提议模型的预测精度。结果表明,该模型的预测精度得到了较大的提高。
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来源期刊
Journal of Grey System
Journal of Grey System 数学-数学跨学科应用
CiteScore
2.40
自引率
43.80%
发文量
0
审稿时长
1.5 months
期刊介绍: The journal is a forum of the highest professional quality for both scientists and practitioners to exchange ideas and publish new discoveries on a vast array of topics and issues in grey system. It aims to bring forth anything from either innovative to known theories or practical applications in grey system. It provides everyone opportunities to present, criticize, and discuss their findings and ideas with others. A number of areas of particular interest (but not limited) are listed as follows: Grey mathematics- Generator of Grey Sequences- Grey Incidence Analysis Models- Grey Clustering Evaluation Models- Grey Prediction Models- Grey Decision Making Models- Grey Programming Models- Grey Input and Output Models- Grey Control- Grey Game- Practical Applications.
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