KNOWLEDGE REDUCTIONS IN FUZZY INFORMATION SYSTEMS

摘要：

Knowledge reduction is one of important issues in rough sets theory. Based on rough set models and knowledge reduction definitions, researching on the corresponding reduction methods is primary approach in knowledge reductions. In symbolic information systems, knowledge reduction definitions and algorithms are in depth examined, in which researches are concentrated on discernibility matrix and functions, heuristic algorithms, incremental algorithms,etc. Information systems are named as fuzzy information systems in which all values are fuzzy. In fuzzy information systems, some basic rough set models are presented, which are called fuzzy-rough set methods. In this paper, definitions of knowledge reductions in fuzzy information systems are improved, that is, some new knowledge reductions are proposed.

关键词： Rough sets knowledge reduction fuzzy information system

作者: BING HUANG XIAN-ZHONG ZHOU XIAO-YAO JIANG

作者单位: School of Information Science, Nanjing Audit University, Nanjing 210029, China;School of Engineering School of Engineering & Management, Nanjing University, Nanjing 210093, China School of Information Science, Nanjing Audit University, Nanjing 210029, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 4169-4172

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）