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[A Bb14] A tripartite graph-based fuzzy co-similarities for document retrieval

Conférence Internationale avec comité de lecture : 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2014 , August 2014, pp.575-580, Series IEEE, (DOI: 10.1109/FSKD.2014.6980898)
motcle:
Résumé: This work exploits the use of a fuzzy many-valued concept analysis for document retrieval to efficiently answer users' queries. For the purpose of visualization, we propose to deal with fuzzy many-valued formal contexts in a tripartite graph with respect to fuzzy triadic document co-similarities. The proposed model aims at describing the documents according to three hierarchical levels. It is based on a prototyping of feature vectors applied to documents, sentences and words. The recourse to fuzzy conceptual scaling has enabled us to visualize many-valued concepts through the construction of fuzzy nested lattices. Once this built, we proceed to document retrieval using building process and lattice incremental path such a simple information retrieval.

Commentaires: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6980898

Equipe: systemes surs
Collaboration: ENIT

BibTeX

@inproceedings {
A Bb14,
title="{A tripartite graph-based fuzzy co-similarities for document retrieval}",
author=" S. Alouane-Ksouri and M. Sassi Hidri and K. Barkaoui ",
booktitle="{11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2014 }",
year=2014,
edition="IEEE",
month="August",
series="IEEE",
pages="575-580",
note="{http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6980898}",
doi="10.1109/FSKD.2014.6980898",
}