A New Method of Huge Group-consistency Amendment With Learning Capacity

摘要：

The group-consistency amendment should be performed before group-aggregation in group-decision making to avoid errors of the kind. This thesis puts forward a group-consistency amendment method based on optimized c-means clustering algorithm,aiming at huge groups while keeping track of evolutionary capacity of learning. This method is also validated by computer simulations and comparative analyses.

关键词： group-consistency amendment huge group-decision clustering algorithm learning evolution

作者: Rong Liu Xiaohong Chen Xiao Wang

作者单位: School of Management,Changsha University of Science and Technology,Changsha,410076,China School of B School of Business,Central South University,Changsha,410012,China School of Management,Changsha University of Science and Technology,Changsha,410076,China

会议类型: 国际会议

会议名称: The First International Conference on Management Innovation(ICMI 2007)(管理创新会议)

会议地点: 上海

会议语种:英文

页码: 248-253

在线出版日期: 2007-06-04（万方平台首次上网日期，不代表论文的发表时间）