DocumentCode :
3580575
Title :
The Relation between Formal Concept Analysis and Rough Set Theory
Author :
Xinying Chen ; Guanyu Li
Author_Institution :
Sch. of Inf. Sci. & Technol., Dalian Maritime Univ., Dalian, China
fYear :
2014
Firstpage :
662
Lastpage :
665
Abstract :
Formal concept analysis and rough set theory have both similarities and differences. Although both are on the base of some data table, they provide two different methods for data mining and knowledge acquisition. At first, this paper discusses differences and relations between the extension of formal concepts in formal concept analysis and the equivalence classes of the rough set theory. Then, by introducing distinguishable relation of attribute set, it further studies the relationship between them. In the meanwhile, relevant theory and equivalent proposition is drawn out. At last, it discusses the relation between the consistent set of information system and consistent set of formal context, the relation between the consistent set with distinguish ability and consistent set of formal context. All the theoretical analysis here is meaningful and lays a theoretical foundation to further discuss the relation between reduction in the rough set theory and formal concept analysis.
Keywords :
data mining; equivalence classes; formal concept analysis; rough set theory; attribute set; data mining; data table; distinguish ability; equivalence classes; equivalent proposition; formal concept analysis; formal context; information system; knowledge acquisition; relevant theory; rough set theory; Context; Data mining; Formal concept analysis; Information systems; Lattices; Rough sets; consistent set; distinguishable relation; equivalence class; formal context; rough set;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
Print_ISBN :
978-1-4799-6928-9
Type :
conf
DOI :
10.1109/CICN.2014.147
Filename :
7065567
Link To Document :
بازگشت