An Innovative Contribution to Flexible Query Through the Fusion of Conceptual Clustering, Fuzzy Logic, and Formal Concept Analysis
Amel Grissa Touzi, Minyar Sassi Hidri, Habib Ounelli · Int. J. Comput. Their Appl. · 2009
In this paper, we propose our contribution to support database flexible querying. It is based on ordered lattice theory extension while combing fuzzy logic with Formal Concept Analysis. Our approach consists of two steps: the first consists of data organization which permits us to deduce the data’s semantic. The second consists of seeking, by querying them, relevant data sources for a given query while defining a concept view by the set from data of the query dependencies. The contributions of this approach are a) The interdependence of the query search criteria, b) An optimal research of the relevant data sources for a given query, and c) The scheduling of the results.