Title :
Object comparison in fuzzy object-oriented databases
Author_Institution :
Sch. of Comput. Commun. Eng., Tianjin Univ. of Technol., Tianjin, China
Abstract :
Aiming at distinguish objects, the concept of object comparison plays an important role in object management in object-oriented databases as well as object-oriented knowledge bases. In order to model uncertain data and complex-valued attributes as well as complex relationships among objects, fuzzy object-oriented databases have been introduced. In this paper, based on possibility distribution and the semantic measure of fuzzy data, we propose a more general way to compare fuzzy objects in the fuzzy object-oriented databases. We introduce an equivalence degree to compare fuzzy objects.
Keywords :
fuzzy set theory; object-oriented databases; uncertain systems; complex valued attributes; fuzzy object oriented databases; model uncertain data; object comparison; object-oriented databases; object-oriented knowledge bases; semantic fuzzy data; Data engineering; Engineering management; Fuzzy sets; Knowledge engineering; Knowledge management; Object oriented databases; Object oriented modeling; Relational databases; Technology management; Uncertainty; equivalence degree; fuzzy object; fuzzy object-oriented databases; object comparison;
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
DOI :
10.1109/ICICISYS.2009.5358091
