DocumentCode
1623897
Title
Similarity measures using fuzzy thesauri for case-based reasoning
Author
Nomoto, Kohei ; Kise, Wakasa ; Kosuge, Yoshio
Author_Institution
Ind. Design Center, Mitsubishi Electr. Corp., Kamakura, Japan
Volume
3
fYear
1999
fDate
6/21/1905 12:00:00 AM
Firstpage
68
Abstract
The conventional similarity measure between a query and a case is measured by counting the number of indices in which values of the case are the same to those of the query. The values of an index, however, are not exclusive of each other, and hence, even if a value of the case is not the same to that of the query, they may sometimes have a relation. The paper presents new similarity measures which consider the degree of the relations among the values using fuzzy thesauri
Keywords
case-based reasoning; fuzzy logic; information retrieval; pattern recognition; thesauri; fuzzy thesauri; query; similarity measures; Content addressable storage; Electric variables measurement; Fuzzy logic; Fuzzy reasoning; Humans; Indexing; Information technology; Nearest neighbor searches; Research and development; Thesauri;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location
Tokyo
ISSN
1062-922X
Print_ISBN
0-7803-5731-0
Type
conf
DOI
10.1109/ICSMC.1999.823156
Filename
823156
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