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
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;
Conference_Titel :
Granular Computing (GrC), 2010 IEEE International Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-7964-1
DOI :
10.1109/GrC.2010.87