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Fuzzy Classification on Relational Databases

Andreas Meier, Günter Schindler, Nicolas Werro

Source Title: Handbook of Research on Fuzzy Information Processing in Databases

ISBN13: 9781599048536|ISBN10: 1599048531|EISBN13: 9781599048543

DOI: 10.4018/978-1-59904-853-6.ch023

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MLA

Meier, Andreas, et al. "Fuzzy Classification on Relational Databases." Handbook of Research on Fuzzy Information Processing in Databases, edited by José Galindo, IGI Global, 2008, pp. 586-614. https://doi.org/10.4018/978-1-59904-853-6.ch023

APA

Meier, A., Schindler, G., & Werro, N. (2008). Fuzzy Classification on Relational Databases. In J. Galindo (Ed.), Handbook of Research on Fuzzy Information Processing in Databases (pp. 586-614). IGI Global. https://doi.org/10.4018/978-1-59904-853-6.ch023

Chicago

Meier, Andreas, Günter Schindler, and Nicolas Werro. "Fuzzy Classification on Relational Databases." In Handbook of Research on Fuzzy Information Processing in Databases, edited by José Galindo, 586-614. Hershey, PA: IGI Global, 2008. https://doi.org/10.4018/978-1-59904-853-6.ch023

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Abstract

In practice, information systems are based on very large data collections mostly stored in relational databases. As a result of information overload, it has become increasingly difficult to analyze huge amounts of data and to generate appropriate management decisions. Furthermore, data are often imprecise because they do not accurately represent the world or because they are themselves imperfect. For these reasons, a context model with fuzzy classes is proposed to extend relational database systems. More precisely, fuzzy classes and linguistic variables and terms, together with appropriate membership functions, are added to the database schema. The fuzzy classification query language (fCQL) allows the user to formulate unsharp queries that are then transformed into appropriate SQL statements using the fCQL toolkit so that no migration of the raw data is needed. In addition to the context model with fuzzy classes, fCQL and its implementation are presented here, illustrated by concrete examples.

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Fuzzy Classification on Relational Databases

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