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
Link To Document :
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