Relative reducts in consistent and inconsistent decision tables of the Pawlak rough set model

被引:196
作者
Miao, D. Q. [2 ]
Zhao, Y. [1 ]
Yao, Y. Y. [1 ]
Li, H. X. [1 ,3 ]
Xu, F. F. [1 ,2 ]
机构
[1] Univ Regina, Dept Comp Sci, Regina, SK S4S 0A2, Canada
[2] Tongji Univ, Dept Comp Sci & Technol, Shanghai 201804, Peoples R China
[3] Nanjing Univ, Sch Management & Engn, Nanjing 210093, Jiangsu, Peoples R China
基金
高等学校博士学科点专项科研基金; 中国国家自然科学基金; 加拿大自然科学与工程研究理事会;
关键词
Attribute reduction; Pawlak rough set model; Pawlak regions; Certainty of decision making; General decision; Relative relationship; Classification quality; Consistent and inconsistent decision tables; KNOWLEDGE REDUCTION; DISCERNIBILITY MATRIX; ATTRIBUTE REDUCTION; UNCERTAINTY;
D O I
10.1016/j.ins.2009.08.020
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A relative reduct can be considered as a minimum set of attributes that preserves a certain classification property. This paper investigates three different classification proper-ties, and suggests three distinct definitions accordingly. In the Pawlak rough set model, while the three definitions yield the same set of relative reducts in consistent decision tables, they may result in different sets in inconsistent tables. Relative reduct construction can be carried out based on a discernibility matrix. The study explicitly stresses a fact, that the definition of a discernibility matrix should be tied to a certain property. Regarding the three classification properties. we can define three distinct definitions accordingly. Based on the common structure of the specific definitions of relative reducts and discernibility matrices, general definitions of relative reducts and discernibility matrices are suggested. (C) 2009 Elsevier Inc. All rights reserved.
引用
收藏
页码:4140 / 4150
页数:11
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