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Data is often partially known, vague or ambiguous in many real worldapplications. To deal with such imprecise information, fuzziness is introducedin the classical model. SQLf is one of the practical language to deal withflexible fuzzy querying in Fuzzy DataBases (FDB). However, with a huge amountof fuzzy data, the necessity to work with synthetic views became a challengefor many DB community researchers. The present work deals with Flexible SQLfquery based on fuzzy linguistic summaries. We use the fuzzy summaries producedby our Fuzzy-SaintEtiq approach. It provides a description of objects dependingon the fuzzy linguistic labels specified as selection criteria.

Flexible SQLf query based on fuzzy linguistic summaries