標題: Document retrieval using fuzzy-valued concept networks
作者: Chen, SM
Horng, YJ
Lee, CH
資訊工程學系
Department of Computer Science
關鍵字: document retrieval;fuzzy information retrieval;fuzzy numbers;fuzzy-valued concept networks;network-type fuzzy-valued concept networks;relationship matrices;relevant matrices
公開日期: 1-二月-2001
摘要: This paper presents a new method for document retrieval using fuzzy-valued concept networks, where the relevant degrees between the concepts in a fuzzy-valued concept network are represented by arbitrary shapes of fuzzy numbers. There are two kinds of relevant relationships between any two concepts in a fuzzy-valued concept network, i.e., fuzzy positive association and fuzzy negative association. The relevant matrices and the relationship matrices are used to model the fuzzy-valued concept network. The elements in a relevant matrix represent the relevant degrees between concepts. The elements in a relationship matrix represent the relevant relationships between concepts. Furthermore, we also allow users' queries to be represented by arbitrary shapes of fuzzy numbers and to use fuzzy positive association relationship and fuzzy negative association relationship for formulating their queries for increasing the flexibility of fuzzy information retrieval systems. We also present an information retrieval method in the Internet environment based on the network-type fuzzy-valued concept network architecture.
URI: http://dx.doi.org/10.1109/3477.907569
http://hdl.handle.net/11536/29874
ISSN: 1083-4419
DOI: 10.1109/3477.907569
期刊: IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
Volume: 31
Issue: 1
起始頁: 111
結束頁: 118
顯示於類別:期刊論文


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  1. 000167276800009.pdf