Fuzzy Flip-flop
Kazuhiro Ozawa, Kaoru Hirota, László Tamás Kóczy · 1996
A great deal of research had been directed towards the realization of a ‘fuzzy computer’. A few types of fuzzy processors which can perform various fuzzy operations, e.g. fuzzy negation, min, max and fuzzy inference, have been proposed and realized by Yamakawa [1, 2] and Togai [3]. These fuzzy inference chips have opened new opportunities for artificial intelligence. However, all of them were based on single-step fuzzy inference. In oder to realize multi-stage fuzzy inference, fuzzy memory modules are indispensable. In the case of an ‘ordinary’ computer, a binary flip-flop circuit, which can memorize single bits of information has been widely used as a fundamental element of memory modules. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.