DocumentCode
552479
Title
A property of reductions in Fuzzy Variable Precision Rough Set model
Author
Tsang, Eric C C ; Zhao, Su-yun ; Zhou, Cai-Li
Author_Institution
Fac. of Inf. Technol., Macau Univ. of Sci. & Technol., Macau, China
Volume
1
fYear
2011
fDate
10-13 July 2011
Firstpage
160
Lastpage
165
Abstract
In this paper, we use strict mathematics reasoning to discover the relation between the threshold and reduction in Fuzzy Variable Precision Rough Sets (FVPRS), i.e., the reductions act as a nested structure with the monotonously increasing threshold. By using the nested structure of reductions, we could design algorithms to quickly find different reductions when a reduction is required. Here `different´ means the reductions obtained using different thresholds.
Keywords
fuzzy set theory; rough set theory; FVPRS; fuzzy variable precision rough set model; mathematics reasoning; Approximation methods; Computational modeling; Cybernetics; Educational institutions; Fuzzy sets; Machine learning; Rough sets; Approximation operators; Granular representation; IVFRS;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location
Guilin
ISSN
2160-133X
Print_ISBN
978-1-4577-0305-8
Type
conf
DOI
10.1109/ICMLC.2011.6016730
Filename
6016730
Link To Document