scholarly journals Reduction about approximation spaces of covering generalized rough sets

2010 ◽  
Vol 51 (3) ◽  
pp. 335-345 ◽  
Author(s):  
Tian Yang ◽  
Qingguo Li
2012 ◽  
Vol 207 ◽  
pp. 66-78 ◽  
Author(s):  
Lijuan Wang ◽  
Xibei Yang ◽  
Jingyu Yang ◽  
Chen Wu

2000 ◽  
Vol 4 (1) ◽  
pp. 3-17 ◽  
Author(s):  
Mohamed Quafafou ◽  
Moussa Boussouf

Symmetry ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 462 ◽  
Author(s):  
Jingqian Wang ◽  
Xiaohong Zhang

Intuitionistic fuzzy rough sets are constructed by combining intuitionistic fuzzy sets with rough sets. Recently, Huang et al. proposed the definition of an intuitionistic fuzzy (IF) β -covering and an IF covering rough set model. In this paper, some properties of IF β -covering approximation spaces and the IF covering rough set model are investigated further. Moreover, we present a novel methodology to the problem of multiple criteria group decision making. Firstly, some new notions and properties of IF β -covering approximation spaces are proposed. Secondly, we study the characterizations of Huang et al.’s IF covering rough set model and present a new IF covering rough set model for crisp sets in an IF environment. The relationships between these two IF covering rough set models and some other rough set models are investigated. Finally, based on the IF covering rough set model, Huang et al. also defined an optimistic multi-granulation IF rough set model. We present a novel method to multiple criteria group decision making problems under the optimistic multi-granulation IF rough set model.


2011 ◽  
Vol 2011 ◽  
pp. 1-22 ◽  
Author(s):  
Zhaohao Wang ◽  
Lan Shu ◽  
Xiuyong Ding

Rough set theory is a powerful tool for dealing with uncertainty, granularity, and incompleteness of knowledge in information systems. This paper discusses five types of existing neighborhood-based generalized rough sets. The concepts of minimal neighborhood description and maximal neighborhood description of an element are defined, and by means of the two concepts, the properties and structures of the third and the fourth types of neighborhood-based rough sets are deeply explored. Furthermore, we systematically study the covering reduction of the third and the fourth types of neighborhood-based rough sets in terms of the two concepts. Finally, two open problems proposed by Yun et al. (2011) are solved.


2006 ◽  
Vol 176 (5) ◽  
pp. 589-600 ◽  
Author(s):  
Michiro Kondo

2015 ◽  
Vol 292 ◽  
pp. 214-229 ◽  
Author(s):  
Xiaohong Zhang ◽  
Jianhua Dai ◽  
Yucai Yu

Sign in / Sign up

Export Citation Format

Share Document