Application of model intelligent selection to tobacco market forecast

Author

Zhang, Shuang ; Qiu, Congbao ; Hu, Fengyan ; Xu, Xiaoming

Author_Institution

Software Coll., Northeastern Univ., Shenyang, China

fYear

2009

fDate

17-19 June 2009

Firstpage

2508

Lastpage

2511

Abstract

Accurate forecast is the key for sales decision-making of tobacco commercial companies. Model selection plays an important role in sales forecast. This paper adopts expert system theory to model selection. Model knowledge tree is set up by selection rules to make knowledge structured and systematic. On the basic of model selection knowledge tree, build up model selection reasoning machine adopting framework reasoning and local-preference searching strategy. The method is applied successfully in marketing decision support system for a tobacco commercial company.

Keywords

decision support systems; expert systems; marketing data processing; sales management; tobacco industry; expert system theory; local-preference searching strategy; marketing decision support system; model intelligent selection; model selection knowledge tree; model selection reasoning machine; sales decision-making; tobacco commercial company; tobacco market forecast; Application software; Concrete; Decision making; Economic forecasting; Educational institutions; Expert systems; Marketing and sales; Monopoly; Object oriented modeling; Predictive models; Expert system; Knowledge tree; Model selection; Tobacco marketing decision-making;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference, 2009. CCDC '09. Chinese

Conference_Location

Guilin

Print_ISBN

978-1-4244-2722-2

Electronic_ISBN

978-1-4244-2723-9

Type

conf

DOI

10.1109/CCDC.2009.5191992

Filename

5191992