Abstract: This work exploits the use of a fuzzy many-valued concept analysis for document retrieval to efficiently answer users' queries.

Abstract—This work exploits the use of a fuzzy many-valued concept analysis for document retrieval to efficiently answer users' queries.

This work exploits the use of a fuzzy many-valued concept analysis for document retrieval to efficiently answer users' queries.

Sonia Alouane-Ksouri, Minyar Sassi Hidri , Kamel Barkaoui: A tripartite graph-based fuzzy co-similarities for document retrieval. FSKD 2014: 575-580.

A tripartite graph-based fuzzy co-similarities for document retrieval. S Alouane-Ksouri, MS Hidri, K Barkaoui. 2014 11th International Conference on Fuzzy ...

Apr 25, 2024 · A tripartite graph-based fuzzy co-similarities for document retrieval. FSKD 2014: 575-580; 2013. [j1]. view. electronic edition via DOI ...

A tripartite graph-based fuzzy co-similarities for document retrieval. 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2014.

In a context of document co-clustering, we define a new similarity measure which iteratively computes similarity while combining fuzzy sets in a three-partite ...

Application of Fuzzy Rule-based Classifier to CBIR in Comparison with Other ... A Tripartite Graph-based Fuzzy Co-similarities for Document Retrieval ...

A robust object detection algorithm based on background difference ... A tripartite graph-based fuzzy co-similarities for document retrievalSonia Alouane-Ksouri, ...