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A proposal of fuzzy connective with learning function and its application to fuzzy retrieval systemA new fuzzy connective and a structure of network constructed by fuzzy connectives are proposed to overcome a drawback of conventional fuzzy retrieval systems. This network represents a retrieval query and the fuzzy connectives in networks have a learning function to adjust its parameters by data from a database and outputs of a user. The fuzzy retrieval systems employing this network are also constructed. Users can retrieve results even with a query whose attributes do not exist in a database schema and can get satisfactory results for variety of thinkings by learning function.
Document ID
19930013022
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Hayashi, Isao
(Matsushita Electric Industrial Co. Ltd. Osaka, Japan)
Naito, Eiichi
(Matsushita Electric Industrial Co. Ltd. Osaka, Japan)
Ozawa, Jun
(Matsushita Electric Industrial Co. Ltd. Osaka, Japan)
Wakami, Noboru
(Matsushita Electric Industrial Co. Ltd. Osaka, Japan)
Date Acquired
September 6, 2013
Publication Date
January 1, 1993
Publication Information
Publication: NASA. Johnson Space Center, Proceedings of the Third International Workshop on Neural Networks and Fuzzy Logic, Volume 2
Subject Category
Cybernetics
Accession Number
93N22211
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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