Applying NGBM to Avoid Erroneous Grey Prediction

Chun-I Chen () and Shou-Jen Huang ()
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Chun-I Chen: I-Shou University
Shou-Jen Huang: TungFang Design Institute

A chapter in Proceedings of 2013 4th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2013), 2014, pp 969-975 from Springer

Abstract: Abstract Grey theory is popular for many years. GM(1,1) is the most used model in grey theory. In the model, there are two coefficients a and b which are determined by lease square method. Base on our research result, the grey development coefficient a should not be zero. If it is, the prediction result is totally erroneous. The correct way to solve this problem is to adopt L’Hôpital Rule. In this paper, we also demonstrate how nonlinear grey Bernoulli model could avoid the appearance the singular situation and increase the prediction precision.

Keywords: L’Hôpital Rule; NGBM; The grey development coefficient (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40060-5_93

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DOI: 10.1007/978-3-642-40060-5_93

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