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
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;
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
DOI :
10.1109/FUZZY.1995.409738
