Title :
Another kind of fuzzy rough sets
Author :
Wei-Feng, DU ; Hai-Ming, LI ; Yan, Gao ; Dan, Meng
Author_Institution :
Traffic Inf. Eng. & Control, Southwest Jiaotong Univ., Chengdu, China
Abstract :
Rough sets and fuzzy sets are both theories for handling uncertain problems, and the viewpoints between them are different. They are complementary than competitive. Much seminal research has been carried out into combining them both; the results are rough fuzzy sets and fuzzy rough sets. In this paper, we introduce the idea of fuzzy rough sets in research of decision tables with quantitative data. Thus, we can handle the decision table directly without discretization. Combining the idea of variable precision rough sets, we make the form of the upper and lower approximation uniform.
Keywords :
decision tables; fuzzy set theory; rough set theory; uncertainty handling; decision table; fuzzy rough set; uncertain problem handling; variable precision rough set; Artificial intelligence; Databases; Equations; Fuzzy set theory; Fuzzy sets; Humans; Pattern recognition; Research and development; Rough sets; Uncertainty; fuzzy rough sets; fuzzy similarity relation; rough sets; variable precision rough sets;
Conference_Titel :
Granular Computing, 2005 IEEE International Conference on
Print_ISBN :
0-7803-9017-2
DOI :
10.1109/GRC.2005.1547254