Abstract | ||
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Worldwide, fuzzy systems are becoming a very useful mathematical tool to deal with nonlinear problems by inferring from a rule base that contains the necessary knowledge extracted from an expert. There are diverse forms to implement a fuzzy system depending on the desired response time, for which hardware implementations are best suited for high-speed demands. Fuzzy hardware has been exploited since the mid-1980s, and there have been many interesting architecture cases with different functional and performance characteristics that are reviewed in this paper from a categorical and historical point of view. |
Year | DOI | Venue |
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2012 | 10.1109/TFUZZ.2011.2181179 | Fuzzy Systems, IEEE Transactions |
Keywords | Field | DocType |
application specific integrated circuits,field programmable gate arrays,fuzzy logic,fuzzy systems,inference mechanisms,knowledge acquisition,knowledge based systems,ASIC,FPGA,application-specific integrated circuits,field-programmable gate array,fuzzy hardware,fuzzy logic,fuzzy systems,knowledge extraction,mathematical tool,nonlinear problems,programmable devices,rule inference,Decision making,digital hardware,fuzzy hardware,fuzzy systems,inference system | Fuzzy electronics,Data mining,Fuzzy set operations,Computer science,Categorical variable,Fuzzy logic,Knowledge-based systems,Software,Artificial intelligence,Fuzzy control system,Machine learning,Knowledge acquisition | Journal |
Volume | Issue | ISSN |
20 | 4 | 1063-6706 |
Citations | PageRank | References |
11 | 0.64 | 42 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Antonio Hernández Zavala | 1 | 11 | 0.64 |
Oscar Camacho Nieto | 2 | 65 | 14.93 |