Title :
A new covering rough fuzzy set model
Author :
Ye, Ping ; Wang, Jiyi
Author_Institution :
Sch. of Math. Phys. & Imformation Eng., Zhejiang Normal Univ., Jinhua, China
Abstract :
The covering rough fuzzy set model as one of the extension models of rough set theory combining with fuzzy set theory is an important issue in rough set theory. It has more general approximation space than the models based on partition. It focuses on the upper and lower approximation of fuzzy sets with the knowledge of covering, which is of great significance to the decision for some purposes. Although three types of covering rough fuzzy set models have been given, all these models have some deficiencies. In this paper, we propose a new reasonable covering rough fuzzy set mode, and then discuss its some relative properties.
Keywords :
fuzzy set theory; rough set theory; covering rough fuzzy set model; extension models; general approximation space; lower approximation; partition; relative properties; upper approximation; Analytical models; Approximation methods; Computational modeling; Fuzzy sets; Mathematical model; Rough sets; covering; fuzzy set; rough fuzzy set; rough set;
Conference_Titel :
Granular Computing (GrC), 2011 IEEE International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4577-0372-0
DOI :
10.1109/GRC.2011.6122695