A Rough Set Based GDSS Approach to Integrate Multi-type Preference Information

摘要：

Two problems in multi-attribute group decision process are studied: integration of multi-types of preference information and making use of given decisions. And a GDSS model based on rough set is proposed, which includes seven common ways for representing preference information. An improved Sem Naive Scaler Algorithm is also suggested to decentralize the information in the rough set table. Finally, rules based on dominance-based rough set theory are applied to the information table to rank all the alternatives.

作者: Tian Fei Liu Lu You Weijia

作者单位: Beihang University, Beijing, 100083 China University, Beijing, 100083 China

会议类型: 国际会议

会议名称: 2007年IEEE灰色系统与智能服务国际会议(2007 IEEE International Conference on Grey Systems and Intelligent Services)

会议地点: 南京

会议语种:英文

在线出版日期: 2007-11-18（万方平台首次上网日期，不代表论文的发表时间）