Abstract
The ER/EER model, as described in Chapter 2, plays an important role in conceptual data modeling. The concepts represented in the model are higher-level data concepts that are not only meant to reflect the contents of data (e.g., attribute values), but mainly the semantics or meaning of data in terms of structures, constraints and relationships. In this sense, the ER/EER model is usually referred to as a conceptual model or semantic model that describes the conceptual aspects of data in the real world situation of concern.
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References
Chen PP. An algebra for a directional binary entity-relationship model. IEEE Proceeding of COMPDEC 1984; 37–40.
Demo B, Dileva A, Giolito P.: An entity-relationship query language. Spain, 1984.
Kerre, Etienne E.; Chen, Guoqing. “An overview of fuzzy data models”. In Studies in Fuzziness: Fuzziness in Database Management Systems. P. Bosc and J. Kacprzyk, eds. Physica-Verlag, 1995.
Markowitz, V. M.; Raz, Y. “A Modified Relational Algebra and its Use in an Entity-Relationship Environment” In Entity-Relationship Approach to Software Engineering, ed. C. Davis, S. Jajodia, P. Ng and R. Yeh, North-Holland, 1983.
Parent C, Spaccepietra S. An entity-relationship algebra. IEEE Proceeding of COMPDEC, 1984.
Ruspini E. “Imprecision and uncertainty in the entity-relationship model.” In Fuzzy Logic in Knowledge Engineering. H. Prade and C. V. Negoita, eds. Verlag TUV Rheinland, 1986.
Vandenberghe RM. An extended entity-relationship model for fuzzy databases based on fuzzy truth values. Proceedings of IFSA’9l, Brussels, 1991; 280–283.
Zvieli A, Chen PP. Entity-relationship modeling and fuzzy databases. Proceedings of 2nd Conference on Data Engineering, L.A. 1985.
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Chen, G. (1998). Fuzzy ER Concepts. In: Fuzzy Logic in Data Modeling. The Springer International Series on Advances in Database Systems, vol 15. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4068-7_4
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DOI: https://doi.org/10.1007/978-1-4615-4068-7_4
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