Mapping Fuzzy EER Model Concepts to Relations

Mapping Fuzzy EER Model Concepts to Relations

Jose Galindo (Universidad de Málaga, Spain), Angelica Urrutia (Universidad Católica del Maule, Chile) and Mario Piattini (Universidad de Castilla-La Mancha, Spain)
Copyright: © 2006 |Pages: 8
DOI: 10.4018/978-1-59140-324-1.ch006


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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