Rough Multi-category Decision Theoretic Framework

摘要：

Decision theoretic framework has been helpful in providing a better understanding of classification models.In particular,decision theoretic interpretations of different types of the binary rough set classification model have led to the refinement of these models.This study extends the decision theoretic rough set model to supervised and unsupervised multi-category problems.The proposed framework can be used to study the multi-classification and clustering problems within the context of rough set theory.

关键词： Rough sets Web usage mining Rough approximation k-means cluster algorithm

作者: Pawan Lingras Min Chen Duoqian Miao

作者单位: Department of Mathematics & Computing Science,Saint Marys University,Halifax,Nova Scotia,B3H 3C3,Ca Department of Mathematics & Computing Science,Saint Marys University,Halifax,Nova Scotia,B3H 3C3,Ca School of Electronics and Information Engineering,Tongji University,Shanghai 201804,P.R.China

会议类型: 国际会议

会议名称: The Third International Conference on Rough Sets and Knowledge Tevhnology(RSKT 2008)(第三届粗糙集与知识技术国际会议)

会议地点: 成都

会议语种:英文

页码: 676-683

在线出版日期: 2008-05-17（万方平台首次上网日期，不代表论文的发表时间）