High-tech product market forecasting based on grey-Markov model

Author

Fei Zhong-hua ; He Zhe-fei ; Jiang Zhong-yi

Author_Institution

Sch. of Math. & Phys., Changzhou Univ., Changzhou, China

fYear

2011

fDate

8-11 Jan. 2011

Firstpage

1191

Lastpage

1194

Abstract

The sale of the high-tech product is the main symbol for the successful transformation of scientific and technological achievements. Since the sale is influenced by all kinds of indefinite interior and external factors. The sale is of random uncertainty and information incompleteness. Based on grey-Markov forecasting model this paper forecasts the sale of the product and demonstrates its availability by an empirical study. The coupled model has higher forecasting accuracy and applicative value, so that the paper provides scientific and feasible quantum foundation for forecasting high-tech product market.

Keywords

Markov processes; economic forecasting; grey systems; sales management; forecasting accuracy; grey-Markov forecasting model; high-tech product market forecasting; information incompleteness; product sale; random uncertainty; scientific achievement; technological achievement; Biological system modeling; Economics; Forecasting; History; Marketing and sales; Markov processes; Predictive models; Markov model; grey theory; high-tech product; market forecastin;

fLanguage

English

Publisher

ieee

Conference_Titel

Management Science and Industrial Engineering (MSIE), 2011 International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4244-8383-9

Type

conf

DOI

10.1109/MSIE.2011.5707633

Filename

5707633