A Kind of New Strengthening Buffer Operator and the Selection of Grey Model

IF 1 4区 工程技术 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Journal of Grey System Pub Date : 2011-06-01 DOI:10.30016/JGS.201106.0003
Xiang-Ling Li, Yong Wei
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引用次数: 2

Abstract

Under the axiomatic system of buffer operator in grey system theory, the paper constructed some new strengthening buffer operators on the basis of inverse function .Meanwhile, the reason of some strengthening buffer operators may decrease the predicted precision is studied. A new method combined strengthening buffer operators with the optimized model that adapts to high-growth data sequence is suggested. A practical example shows the validity and feasibility of the method.
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一种新的强化缓冲算子及灰色模型的选择
在灰色系统理论中缓冲算子的公理系统下,基于逆函数构造了一些新的强化缓冲算子,同时研究了某些强化缓冲算子降低预测精度的原因。提出了一种适应高增长数据序列的强化缓冲算子与优化模型相结合的新方法。实例验证了该方法的有效性和可行性。
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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.
期刊最新文献
A Study of Using Analytical Hierarchy Process and Grey Relational Grade in Wine Evaluation Selection of Discrete GM Model Initial Value by Designing Calculation Program Clustering the English Reading Performances by Using GSP And GSM The Prices Prediction of Taiwan Stock via GM(1,1) Method Apply Differences Grey Prediction Methods in the Selling of LOHAS
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