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FSQL and SQLf: Towards a Standard in Fuzzy Databases

FSQL and SQLf: Towards a Standard in Fuzzy Databases

Angélica Urrutia, Leonid Tineo, Claudia Gonzalez
Copyright: © 2008 |Pages: 29
ISBN13: 9781599048536|ISBN10: 1599048531|EISBN13: 9781599048543
DOI: 10.4018/978-1-59904-853-6.ch011
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MLA

Urrutia, Angélica, et al. "FSQL and SQLf: Towards a Standard in Fuzzy Databases." Handbook of Research on Fuzzy Information Processing in Databases, edited by José Galindo, IGI Global, 2008, pp. 270-298. https://doi.org/10.4018/978-1-59904-853-6.ch011

APA

Urrutia, A., Tineo, L., & Gonzalez, C. (2008). FSQL and SQLf: Towards a Standard in Fuzzy Databases. In J. Galindo (Ed.), Handbook of Research on Fuzzy Information Processing in Databases (pp. 270-298). IGI Global. https://doi.org/10.4018/978-1-59904-853-6.ch011

Chicago

Urrutia, Angélica, Leonid Tineo, and Claudia Gonzalez. "FSQL and SQLf: Towards a Standard in Fuzzy Databases." In Handbook of Research on Fuzzy Information Processing in Databases, edited by José Galindo, 270-298. Hershey, PA: IGI Global, 2008. https://doi.org/10.4018/978-1-59904-853-6.ch011

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Abstract

Actually, FSQL and SQLf are the main fuzzy logic based proposed extensions to SQL. It would be very interesting to integrate them with a standard for fuzzy databases. The issue is what to take from one or other proposal. In this chapter, we analyze FSQL and SQLf making a comparison in several ways: approach direction, fuzzy components, system architecture, satisfaction degree, evaluation mechanisms, and experimental performance. We observe that there are powerful and interesting features in both proposals that could be mixed in a unified language for fuzzy relational databases.

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