Document retrieval using fuzzy-valued concept networks

Author

Chen, Shyi-Ming ; Horng, Yih-Jen ; Lee, Chia-Hoang

Author_Institution

Dept. of Electron. Eng., Taiwan Univ. of Sci. & Technol., Taipei, Taiwan

Volume

31

Issue

1

fYear

2001

fDate

2/1/2001 12:00:00 AM

Firstpage

111

Lastpage

118

Abstract

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, ne 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

Keywords

fuzzy set theory; information retrieval; concept network; document retrieval; fuzzy information retrieval; fuzzy negative association; fuzzy positive association; fuzzy-valued concept networks; Boolean functions; Fuzzy logic; Fuzzy neural networks; Fuzzy set theory; Fuzzy sets; Fuzzy systems; IP networks; Information retrieval; Shape; Uncertainty;

fLanguage

English

Journal_Title

Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on

Publisher

ieee

ISSN

1083-4419

Type

jour

DOI

10.1109/3477.907569

Filename

907569