Title :
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
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;
Conference_Titel :
Management Science and Industrial Engineering (MSIE), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-8383-9
DOI :
10.1109/MSIE.2011.5707633
