DocumentCode :
2750220
Title :
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
Link To Document :
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