THE RELATIONSHIPS BETWEEN THE INCLUSION DEGREE AND MEASURES ON ROUGH SET DATA ANALYSIS BASED ON REGULAR PROBABILITY SPACES

摘要：

Rough set data analysis is one of the main application techniques arising from rough set theory. In this paper we first give a concept of inclusion degree and introduce some measures on rough set in probability spaces. Then we establish several important relationships between the inclusion degree and these measures. Finally, we get one conclusion that these measures can be reduced to the inclusion degree by using mathematical reasoning.

关键词： Rough sets Inclusion degree Data analysis Measure Regular probability spaces

作者: ERIC C.C.TSANG WEN-XIA YANG DE-GANG CHEN

作者单位: Department of computing, The Hong Kong Polytechnic University, Hung Horn, Kowloon, Hong Kong Department of Mathematics and Physics, North China Electric Power University, 102206, Beijing, P.R.C

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 2412-2416

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）