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Data Model of FRDB with Different Data Types and PFSQL

Data Model of FRDB with Different Data Types and PFSQL

Aleksandar Takaci, Srdan Škrbic
Copyright: © 2008 |Pages: 28
ISBN13: 9781599048536|ISBN10: 1599048531|EISBN13: 9781599048543
DOI: 10.4018/978-1-59904-853-6.ch016
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MLA

Takaci, Aleksandar, and Srdan Škrbic. "Data Model of FRDB with Different Data Types and PFSQL." Handbook of Research on Fuzzy Information Processing in Databases, edited by José Galindo, IGI Global, 2008, pp. 407-434. https://doi.org/10.4018/978-1-59904-853-6.ch016

APA

Takaci, A. & Škrbic, S. (2008). Data Model of FRDB with Different Data Types and PFSQL. In J. Galindo (Ed.), Handbook of Research on Fuzzy Information Processing in Databases (pp. 407-434). IGI Global. https://doi.org/10.4018/978-1-59904-853-6.ch016

Chicago

Takaci, Aleksandar, and Srdan Škrbic. "Data Model of FRDB with Different Data Types and PFSQL." In Handbook of Research on Fuzzy Information Processing in Databases, edited by José Galindo, 407-434. Hershey, PA: IGI Global, 2008. https://doi.org/10.4018/978-1-59904-853-6.ch016

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Abstract

This chapter introduces a way to extend the relational model with mechanisms that can handle imprecise, uncertain, and inconsistent attribute values using fuzzy logic. It describes details on how the relational model is extended in order to include fuzzy capabilities. In addition, we describe a query language called PFSQL for this fuzzy database model. Besides basic fuzzy capabilities, this query language adds the possibility to specify priorities for fuzzy statements. This appears to be the first implementation that has such capabilities. Also we describe the relations on FRDB (fuzzy relational database) and PFCSP (priority fuzzy constraint satisfaction problems) and GPFCSP (generalized priority fuzzy constraint satisfaction problems), theoretical concepts vital for the implementation of PFSQL. The authors propose several points in which this research and implementation can be continued and extended, contributing to better understanding of fuzzy database concepts and techniques and giving numerous possibilities for further development in this area.

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