DocumentCode
2145125
Title
Isomorphism Between Information Tables for Tolerance and Classical Rough Sets
Author
Meng, Jun ; Tsauyoung Li ; Chen, Zehua ; Wang, Xiukun ; Wang, Peng
Author_Institution
Sch. of Comput. Sci. & Technol., Dalian Univ. of Technol., Dalian, China
fYear
2010
fDate
14-16 Aug. 2010
Firstpage
735
Lastpage
738
Abstract
Tolerance relations are more generic than equivalence relations from viewpoint of Granular Computing. But it cannot to be used to divide a set directly. Based on neighborhood system of tolerance relation, we can get the induced partition. We propose the extended information table of tolerance rough sets. An example is given to illustrate the continuity of named quotient spaces, so the information table between tolerance and classical rough set is isomorphism.
Keywords
artificial intelligence; isomorphism; rough set theory; equivalence relation; granular computing; information table; isomorphism; neighborhood system; tolerance relation; tolerance rough set; Computational modeling; Computer science; Intelligent systems; Knowledge based systems; Knowledge representation; Relational databases; Rough sets; granular computing; isomorphism; named quotient space; tolerance relation;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing (GrC), 2010 IEEE International Conference on
Conference_Location
San Jose, CA
Print_ISBN
978-1-4244-7964-1
Type
conf
DOI
10.1109/GrC.2010.87
Filename
5576057
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