Extending ER/EER concepts towards fuzzy conceptual data modeling

Author

Chen, Guoqing ; Kerre, Etienne E.

Author_Institution

MIS Div., Tsinghua Univ., Beijing, China

Volume

2

fYear

1998

fDate

4-9 May 1998

Firstpage

1320

Abstract

Entity relational (ER) and enhanced ER (EER) models play an important role in conceptual data modeling. This paper presents fuzzy extensions to several major ER/EER concepts so that uncertainty and imprecision in data and semantics can be represented and dealt with at a conceptual level. First, fuzzy extensions to basic ER/EER concepts such as superclass/subclass, generalization/specialization, and shared subclass/category are discussed. Next, the attribute inheritance is investigated in a fuzzy context, including multiple inheritance, selective inheritance, and the inheritance for derived attributes. Finally, certain constraints on relationships are explored in terms of the inheritance constraint, the participation constraint, and the cardinality constraint

Keywords

data structures; database theory; fuzzy set theory; inheritance; relational databases; attribute inheritance; cardinality constraint; data representation; entity relational; fuzzy conceptual data modeling; fuzzy set theory; generalization; participation constraint; specialization; Computer science; Erbium; Fuzzy set theory; Fuzzy sets; Information analysis; Information systems; Mathematics; Object oriented databases; Object oriented modeling; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on

Conference_Location

Anchorage, AK

ISSN

1098-7584

Print_ISBN

0-7803-4863-X

Type

conf

DOI

10.1109/FUZZY.1998.686310

Filename

686310