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Flexible querying of DB allows to extend DBMS in order to support imprecisionand flexibility in queries. Flexible queries use vague and imprecise termswhich have been defined as fuzzy sets. However, there is no consensus onmemberships functions generation. Most of the proposed methods require expertintervention. This thesis is devised in two parts. In the first part, wepropose a clustering based approach for automatic and incremental membershipfunctions generation. We have proposed the clustering method CLUSTERDB* whichevaluates clustering quality underway clusters generation. Moreover, we proposeincremental updates of partitions and membership functions after insertion ordeletion of a new object. The second part of this thesis uses these functionsand Formal Concepts Analysis in flexible and cooperative querying. In case ofempty answers, we formally detect the failure reasons and we generateapproximative queries with their answers. These queries help the user toformulate new queries having answers. The different proposed approaches areimplemented and experimented with several databases. The experimentationresults are encouraging.

D\'etermination Automatique des Fonctions d'Appartenance et Interrogation Flexible et Coop\'erative des Bases de Donn\'ees