Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Processing of Queries with Fuzzy Similarity Domains

Processing of Queries with Fuzzy Similarity Domains
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Author(s): Soraya O. Carrasquel (Universidad Simón Bolívar, Venezuela), Ricardo R. Monascal (Universidad Simón Bolívar, Venezuela), Rosseline Rodríguez (Universidad Simón Bolívar, Venezuela) and Leonid Tineo (Universidad Simón Bolívar, Venezuela)
Copyright: 2016
Pages: 41
Source title: Handbook of Research on Innovative Database Query Processing Techniques
Source Author(s)/Editor(s): Li Yan (Nanjing University of Aeronautics and Astronautics, China)
DOI: 10.4018/978-1-4666-8767-7.ch004


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There are some data models and query languages based on the application of fuzzy set theory. Their goal is to provide more flexible DBMS that allow the expression of user preferences in querying as well as imprecision in data. In this sense, the FuzzyEER data model proposes four kinds of fuzzy attributes. One of them, named Type 3, consists of a set of labels provided of a similarity relation. An extension of SQL, named FSQL, allows the expression and use of fuzzy attributes. Nevertheless, FSQL does not allow using fuzzy attributes in some clauses based on data ordering, due to semantics problem. This chapter presents a solution for this problem in case of Type 3 fuzzy attributes. Main contribution consists in how to process queries involving such attributes by means of an extension to an existing RDBMS. Formal semantics, grammar, catalogue definition and translation schemas are contained in this chapter.

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