Mining the change of consensus from group ranking decisions
The group ranking approach has been applied in many applications, such as in decision-making support systems, group recommendation systems, and so on. Previous studies have focused on the use of static information at a specific time, however, changing information is closer to real life. For this reason, this study utilizes group information at different time-points for consensus sequence mining. The aim is to find the change in consensus sequence at different times so as to understand changes in group preference moving closer to the authentic idea of that group. Finally, this study classifies the change of group consensus sequence into five types, which allows decision-makers to visualize the changing thoughts of the customer community and make better strategies.
Data mining Change mining, pairwise comparisons Group decision making Maximum consensus sequence
Li-Chen Cheng Min-Ting Lai
Department of Computer Science and Information Management, Soochow University, Taipei 100, Taiwan, R Department of Computer Science and Information Management, Soochow University,Taipei 100, Taiwan, RO
国际会议
上海
英文
1512-1516
2011-07-26（万方平台首次上网日期，不代表论文的发表时间）