The Fuzzy Concept Based on Rough Set Theory in Decision-Making

摘要：

Rough set theory refers to classification of objects described by well-defined values of qualitative and quantitative attributes. In practice, however, the decision and condition attributes are often fuzzy and be described by fuzzy sets. This situation may be formally modeled by similarity or tolerance relations instead of the indiscemibility relation. This paper investigates a new method for decision making system that derives from the combination of rough sets and fuzzy sets. The concept of inclusion degree of fuzzy sets and multiple approximation space are given. Proposing the idea of multiple approximation spaces for decision making, and discussing the relationship between condition and decision attributes and the assignment of condition attributes weights for each decision attribute.

关键词： fuzzy rough sets inclusion degree multiple approximate space similarity relation

作者: Yunxiang Liu XinxinYuan YanChen

作者单位: School of Computer Science, Shanghai Institute of Technology 200235 East China University of science East China University of science and Technology ShangHai 200237

会议类型: 国际会议

会议名称: 2010 Second Asia-Pacific Conference on Information Processing(2010年第二届亚太地区信息处理国际会议 APCIP 2010)

会议地点: 南昌

会议语种:英文

页码: 72-75

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）