Objects resemblance in a fuzzy object-oriented context

Author

Marín, Nicolás ; Medina, Juan M. ; Pons, Olga ; Vila, M. Amparo

Author_Institution

Dept. of Comput. Sci. & Artificial Intelligence, Granada Univ., Spain

Volume

2

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

849

Lastpage

854

Abstract

Many problems related to the objects management in an object-oriented database model involve the concept of comparison. To which extent may two objects be the same one? How similar are two objects? These questions have a clear answer in a crisp object-oriented context. But, if we deal with imprecise or imperfect objects, the equality concept becomes fuzzy. Here we present a set of operators useful to compare objects in a fuzzy environment: among them, a generalized resemblance degree between two fuzzy sets of imprecise objects and a generalized resemblance degree to compare complex fuzzy objects

Keywords

fuzzy set theory; object-oriented databases; complex fuzzy object comparison; fuzzy object-oriented context; fuzzy sets; generalized resemblance degree; object resemblance; object-oriented database model; Artificial intelligence; Computer science; Data models; Fuzzy sets; Object oriented databases; Object oriented modeling; Object oriented programming; Proposals; Relational databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on

Conference_Location

Honolulu, HI

Print_ISBN

0-7803-7280-8

Type

conf

DOI

10.1109/FUZZ.2002.1006615

Filename

1006615