Abstract
In this paper we introduce an extension of a fuzzy query language called SummarySQL which allows the user to define and evaluate quantified fuzzy expressions, known as linguistic summaries. The new language gives the user the capability to define a broad class of fuzzy patterns for integrity constraints. In addition we describe the use of SummarySQL as a fuzzy-tool for data mining. We show how it can be used to search for typical values, fuzzy rules and fuzzy functional dependencies.
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© 1997 Springer Science+Business Media New York
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Rasmussen, D., Yager, R.R. (1997). Fuzzy Query Language for Hypothesis Evaluation. In: Andreasen, T., Christiansen, H., Larsen, H.L. (eds) Flexible Query Answering Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-6075-3_2
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DOI: https://doi.org/10.1007/978-1-4615-6075-3_2
Publisher Name: Springer, Boston, MA
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