DocumentCode :
552478
Title :
Granular structure of interval-valued fuzzy approximation space
Author :
Zhao, Su-yun ; Si, Lin
Author_Institution :
Key Lab. of Data Eng. & Knowledge Eng., Renmin Univ. of China, Beijing, China
Volume :
1
fYear :
2011
fDate :
10-13 July 2011
Firstpage :
237
Lastpage :
242
Abstract :
Recently, most works of interval valued fuzzy rough sets (IVFRSs) have been focused on the membership intervals representation. Less work on granular representation of IVFRSs was done. In this paper the interval valued fuzzy granular representation of IVFRSs is presented. That is to say, the granular structure is studied in interval-valued fuzzy approximation space.
Keywords :
fuzzy set theory; rough set theory; IVFRS; granular structure; interval valued fuzzy rough sets; interval-valued fuzzy approximation space; membership intervals representation; Approximation methods; Cognition; Educational institutions; Fuzzy sets; Information systems; 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.2011.6016729
Filename :
6016729
Link To Document :
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