文献类型：期刊文献

英文题名：The fuzzy concept based on approximation space in decision-making

作者：Liu, Yunxiang[1,2]; Jiang, Lisi[2]; Lin, Jie[1]

机构：[1] Department of Computer Science, Shanghai Institute of Technology, 200235, China; [2] East China University of Science and Technology, ShangHai 200237, China

年份：2007

起止页码：957

外文期刊名：Proceedings of 2007 IEEE International Conference on Grey Systems and Intelligent Services, GSIS 2007

收录：EI(收录号：20083611500066)

语种：英文

外文关键词：Rough set theory - Approximation algorithms - 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. ?2007 IEEE.