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Mapping Fuzzy EER Model Concepts to Relations

Mapping Fuzzy EER Model Concepts to Relations

Jose Galindo, Angelica Urrutia, Mario Piattini
Copyright: © 2006 |Pages: 8
ISBN13: 9781591403241|ISBN10: 1591403243|ISBN13 Softcover: 9781591403258|EISBN13: 9781591403265
DOI: 10.4018/978-1-59140-324-1.ch006
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MLA

José Galindo, et al. "Mapping Fuzzy EER Model Concepts to Relations." Fuzzy Databases: Modeling, Design and Implementation, IGI Global, 2006, pp.171-178. https://doi.org/10.4018/978-1-59140-324-1.ch006

APA

J. Galindo, A. Urrutia , & M. Piattini (2006). Mapping Fuzzy EER Model Concepts to Relations. IGI Global. https://doi.org/10.4018/978-1-59140-324-1.ch006

Chicago

José Galindo, Angelica Urrutia , and Mario Piattini. "Mapping Fuzzy EER Model Concepts to Relations." In Fuzzy Databases: Modeling, Design and Implementation. Hershey, PA: IGI Global, 2006. https://doi.org/10.4018/978-1-59140-324-1.ch006

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Abstract

This chapter shows the transformation of the FuzzyEER model to a logical design by using relational databases. The FuzzyEER-to-Relational mapping algorithm is based on the “classical” EER-to-Relational mapping algorithm, published in Elmasri and Navathe (2000) and summarized in the first section of this chapter, but other versions are very similar (De Miguel, Piattini, & Marcos, 1999; Silverschatz, Korth, & Sudarshan, 2002). The FuzzyEER-to-Relational mapping algorithm includes additional rules for mapping fuzzy concepts. The following sections translate the FuzzyEER concepts, that is, the definitions in Chapter IV, to the FIRST-2 schema, which was exposed in Chapter V. Thus, this chapter relates Chapter IV with Chapter V, obtaining a fuzzy relational database. In addition, we need a comprehensive fuzzy database language with statements for data definition, query, and update. This language is FSQL (Fuzzy SQL), and we describe it in Chapter VII.

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