Title :
Advances in Rough and Fuzzy Set Information Systems
Author :
Beaubouef, Theresa ; Petry, Frederick E.
Author_Institution :
Comput. Sci. Dept., Southeastern Louisiana Univ., Hammond, LA, USA
Abstract :
Rough sets and fuzzy sets are frameworks for the representation of uncertainty. They have been used in various applications such as the imprecise querying of crisp data, uncertainty management in databases, the mining of spatial data, and measurement of information content. This paper discusses such advances in rough and fuzzy set information systems.
Keywords :
data mining; database management systems; fuzzy set theory; information systems; rough set theory; uncertainty handling; data querying; database management; fuzzy sets; information content measurement; information systems; rough sets; spatial data mining; uncertainty; Approximation methods; Finite element methods; Relational databases; Rough sets; Spatial databases; Uncertainty;
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.2010.39
