Title :
Application and Construction of General Prediction Model for Drugs Marketing System
Author :
Qu Zhaoyang ; Geng Nannan ; Li Ang
Author_Institution :
Sch. of Inf. Eng., Northeast Dian Li Univ., Jilin
Abstract :
Forecasting economic indicators in drugs marketing system has been always the important issue which feazes medical dealer. In this paper, through that determining the weighting coefficient in a combining forecasting model is translated into estimating the attributes significance among rough set, we propose construction method of combining forecast based on rough set. Practical application indicates that this method is superior to the single model forecast, and it has a broad application prospect in real medical sales forecast problem.
Keywords :
drugs; economic forecasting; economic indicators; marketing; rough set theory; drugs marketing system; economic indicators forecasting; general prediction model; medical sale forecast problem; rough set; Biomedical engineering; Cities and towns; Drugs; Economic forecasting; Marketing and sales; Mathematical model; Prediction methods; Predictive models; Set theory; Timing;
Conference_Titel :
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-0-7695-3161-8
Electronic_ISBN :
978-0-7695-3161-8
DOI :
10.1109/ICICIC.2008.161
