Application of Model Intelligent Selection to Tobacco Market Forecast

摘要：

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.

关键词： Tobacco marketing decision-making Model selection Ezpert system Knowledge tree

作者: Shuang Zhang Congbao Qiu Fengyan Hu Xiaoming Xu

作者单位: Software College, Northeastern University, Shenyang 100004, China Shenyang Tobacco Monopoly Bureau, Shenyang 100004, China

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 2508-2511

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）