DocumentCode
2088426
Title
Grey group model forecasting in the field of application of the agricultural economy
Author
Nan, Liu
Author_Institution
Sch. of Econ. & Manage., Daqing Normal Univ., Daqing, China
fYear
2011
fDate
27-29 May 2011
Firstpage
391
Lastpage
394
Abstract
Agricultural economic forecasts play an important role in the fields of industrial distribution, industrial structure adjustment and so on. At present, there are not any detailed researches on agriculture forecast. For the characteristics of the agricultural economy as well as the shortcomings and deficiencies of existing researches, this paper presents an improved grey model to forecast the agricultural economy and conducts case study. The results show that from the points of accuracy, reasonableness and practicality, the improved grey model is more suitable for prediction of agricultural economy than others.
Keywords
agriculture; economic forecasting; grey systems; industrial economics; agricultural economic forecast; grey group model forecasting; industrial distribution; industrial structure adjustment; Accuracy; Agriculture; Correlation; Data models; Economics; Mathematical model; Predictive models; agricultural economy; forecast; grey group model; grey model; grey relation grade;
fLanguage
English
Publisher
ieee
Conference_Titel
New Technology of Agricultural Engineering (ICAE), 2011 International Conference on
Conference_Location
Zibo
Print_ISBN
978-1-4244-9574-0
Type
conf
DOI
10.1109/ICAE.2011.5943826
Filename
5943826
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