Verhulst Model of Interval Grey Number Based on Information Decomposing and Model Combination

Grey Verhulst models are often employed to simulate the development tendency with the characteristic of saturated process of S curve. However, the uncertainty of interval grey numbers will be increased since the boundaries of interval grey number are extended by the Axiom of nondecreasing grey degre...

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Main Authors: Bo Zeng, Chuan Li, Guo Chen, Wang Zhang
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2013/472065
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author Bo Zeng
Chuan Li
Guo Chen
Wang Zhang
author_facet Bo Zeng
Chuan Li
Guo Chen
Wang Zhang
author_sort Bo Zeng
collection DOAJ
description Grey Verhulst models are often employed to simulate the development tendency with the characteristic of saturated process of S curve. However, the uncertainty of interval grey numbers will be increased since the boundaries of interval grey number are extended by the Axiom of nondecreasing grey degree in the existing Verhulst modeling method. In this paper, the interval grey number is divided into two real number parts, that is, “white” and “grey” parts. Then the “white” and “grey” parts are simulated and forecasted by building the grey Verhulst model and DGM (1, 1) model, respectively. To some degree, this method resolves the issue of amplifying the range of interval grey number. Finally, an example is used to compare the simulation performance between the new model and the traditional model, and the results show that the new model is superior to the other model.
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institution Kabale University
issn 1110-757X
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language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series Journal of Applied Mathematics
spelling doaj-art-ebec04dedee14b889ca53b6555008a3f2025-02-03T01:07:33ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/472065472065Verhulst Model of Interval Grey Number Based on Information Decomposing and Model CombinationBo Zeng0Chuan Li1Guo Chen2Wang Zhang3Strategical Planning College, Chongqing Technology and Business University, Chongqing 400067, ChinaEngineering Laboratory for Detection & Control and Integrated System, Chongqing Technology and Business University, Chongqing 400067, ChinaSchool of Electrical and Information Engineering, The University of Sydney, Sydney, NSW 2006, AustraliaSchool of Electrical and Information Engineering, The University of Sydney, Sydney, NSW 2006, AustraliaGrey Verhulst models are often employed to simulate the development tendency with the characteristic of saturated process of S curve. However, the uncertainty of interval grey numbers will be increased since the boundaries of interval grey number are extended by the Axiom of nondecreasing grey degree in the existing Verhulst modeling method. In this paper, the interval grey number is divided into two real number parts, that is, “white” and “grey” parts. Then the “white” and “grey” parts are simulated and forecasted by building the grey Verhulst model and DGM (1, 1) model, respectively. To some degree, this method resolves the issue of amplifying the range of interval grey number. Finally, an example is used to compare the simulation performance between the new model and the traditional model, and the results show that the new model is superior to the other model.http://dx.doi.org/10.1155/2013/472065
spellingShingle Bo Zeng
Chuan Li
Guo Chen
Wang Zhang
Verhulst Model of Interval Grey Number Based on Information Decomposing and Model Combination
Journal of Applied Mathematics
title Verhulst Model of Interval Grey Number Based on Information Decomposing and Model Combination
title_full Verhulst Model of Interval Grey Number Based on Information Decomposing and Model Combination
title_fullStr Verhulst Model of Interval Grey Number Based on Information Decomposing and Model Combination
title_full_unstemmed Verhulst Model of Interval Grey Number Based on Information Decomposing and Model Combination
title_short Verhulst Model of Interval Grey Number Based on Information Decomposing and Model Combination
title_sort verhulst model of interval grey number based on information decomposing and model combination
url http://dx.doi.org/10.1155/2013/472065
work_keys_str_mv AT bozeng verhulstmodelofintervalgreynumberbasedoninformationdecomposingandmodelcombination
AT chuanli verhulstmodelofintervalgreynumberbasedoninformationdecomposingandmodelcombination
AT guochen verhulstmodelofintervalgreynumberbasedoninformationdecomposingandmodelcombination
AT wangzhang verhulstmodelofintervalgreynumberbasedoninformationdecomposingandmodelcombination