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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:
sys
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", | |
| } | |||
