標題: A new method for fuzzy information retrieval based on fuzzy hierarchical clustering and fuzzy inference techniques
作者: Horng, YJ
Chen, SM
Chang, YC
Lee, CH
資訊工程學系
Department of Computer Science
關鍵字: fuzzy agglomerative hierarchical clustering;fuzzy information retrieval systems;fuzzy logic rules;fuzzy relationships;query expansion
公開日期: 1-Apr-2005
摘要: In this paper, we extend the work of Kraft et al to present a new method for fuzzy information retrieval based on fuzzy hierarchical clustering and fuzzy inference techniques. First, we present a fuzzy agglomerative hierarchical clustering algorithm for clustering documents and to get the document cluster centers of document clusters. Then, we present a method to construct fuzzy logic rules based on the document clusters and their document cluster centers. Finally, we apply the constructed fuzzy logic rules to modify the user's query for query expansion and to guide the information retrieval system to retrieve documents relevant to the user's request. The fuzzy logic rules can represent three kinds of fuzzy relationships (i.e., fuzzy positive association relationship, fuzzy specialization relationship and fuzzy generalization relationship) between index terms. The proposed fuzzy information retrieval method is more flexible and more intelligent than the existing methods due to the fact that it can expand users' queries for fuzzy information retrieval in a more effective manner.
URI: http://dx.doi.org/10.1109/TFUZZ.2004.840134
http://hdl.handle.net/11536/13876
ISSN: 1063-6706
DOI: 10.1109/TFUZZ.2004.840134
期刊: IEEE TRANSACTIONS ON FUZZY SYSTEMS
Volume: 13
Issue: 2
起始頁: 216
結束頁: 228
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