DocumentCode
293374
Title
Multi-input fuzzy reasoning employing memory network method and global/local reasoning method
Author
Arikawa, Haruhiko ; Mizumoto, Masaharu
Author_Institution
Ark Techno-Res. Inc., Kyoto, Japan
Volume
2
fYear
1995
fDate
20-24 Mar 1995
Firstpage
539
Abstract
In conventional fuzzy reasoning, when the number of input increases, the processing speed (i.e. FLIPS) decreases and the number of fuzzy rules in combination with input labels is thought to increase exponentially. This paper aims to improve these two problems by using the memory network method and global/local reasoning method
Keywords
fuzzy systems; inference mechanisms; knowledge based systems; parallel processing; storage management; uncertainty handling; global/local reasoning method; memory network method; multi-input fuzzy reasoning; Clocks; Fuzzy control; Fuzzy reasoning; Fuzzy systems; Hardware; Humans; Random access memory; Read only memory; Read-write memory; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int
Conference_Location
Yokohama
Print_ISBN
0-7803-2461-7
Type
conf
DOI
10.1109/FUZZY.1995.409738
Filename
409738
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