The Fuzzy Concept Based on Approximation Space in Decision-Making

摘要：

Rough set theory refers to classification of objects are 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 indiscernibility 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. We propose 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.

作者: Yunxiang Liu Lisi Jiang Jie Lin

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

会议类型: 国际会议

会议名称: 2007年IEEE灰色系统与智能服务国际会议(2007 IEEE International Conference on Grey Systems and Intelligent Services)

会议地点: 南京

会议语种:英文

在线出版日期: 2007-11-18（万方平台首次上网日期，不代表论文的发表时间）