文献类型：期刊文献

英文题名：Reasoning based on rough set in decision making

作者：Liu, Yunxiang[1,2]; Zhang, Danni[2]; Jiang, Lisi[2]

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

年份：2009

起止页码：104

外文期刊名：Proceedings - 2009 International Conference on Industrial and Information Systems, IIS 2009

收录：EI(收录号：20094012363149)

语种：英文

外文关键词：Rough set theory - Approximation algorithms - Decision making - Decision tables - Decision theory

摘要：The rough sets theory has prove to be a very useful tool for analysis of information tables describing objects by means of disjoint subsets of condition and decision attributes. The key idea of rough sets is approximation of knowledge expressed by decision attributes using knowledge expressed by condition attributes. In real life the decision and condition concepts are often fuzzy and be described by fuzzy sets. 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 level approximation are given, and propose the idea of multiple approximation spaces for decision making. We discuss the relationship between condition and decision attributes with some examples. This offered theoretical foundation for assigning the weights to condition attributes during decision making. ? 2009 IEEE.