A Tripartite Graph-based Fuzzy Co-similarities for Document Retrieval

摘要：

　　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 manyvalued 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.

关键词： Fuzzy conceptual scaling Document retrieval Triadic co-similarities Fuzzy nested Lattice

作者: Sonia Alouane-Ksouri Minyar Sassi-Hidri Kamel Barkaoui

作者单位: University of Tunis El Manar National Engineering School of Tunis LR-SITI-ENIT BP. 37,Le Belvédère 1 CEDRIC-CNAM Rue Saint-Martin Paris 75003,France

会议类型: 国际会议

会议名称: The 2014 10th International Conference on Natural Computation (ICNC 2014) and the 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2014)(第十届自然计算和第十一届模糊系统与知识发现国际会议)

会议地点: 厦门

会议语种:英文

页码: 584-589

在线出版日期: 2014-08-19（万方平台首次上网日期，不代表论文的发表时间）