Parallel processing of fuzzy inferences. Salinas, L. C.; Moraga, C. R.; Monge, R.; Gómez, M.; and Canas, J. In pages 134-140, 1994.
abstract   bibtex   
Rule based systems are computationally very demanding, since a large number of rules has to be evaluated every time new input data are observed in order to undertake a corresponding action. In this paper we study the possible improvements in performance by using parallel processing. Both fine grade algorithms and standard multiprocessor architectures for Mamdani-type fuzzy systems with two inputs and one output are considered. It is shown, that a speed-up close to linear may be achieved. The results may be extended to systems with more than two inputs.
@inproceedings{0027985864,
    abstract = "Rule based systems are computationally very demanding, since a large number of rules has to be evaluated every time new input data are observed in order to undertake a corresponding action. In this paper we study the possible improvements in performance by using parallel processing. Both fine grade algorithms and standard multiprocessor architectures for Mamdani-type fuzzy systems with two inputs and one output are considered. It is shown, that a speed-up close to linear may be achieved. The results may be extended to systems with more than two inputs.",
    year = "1994",
    title = "Parallel processing of fuzzy inferences",
    pages = "134-140",
    journal = "Proceedings of The International Symposium on Multiple-Valued Logic",
    author = "Salinas, Luís C. and Moraga, Claudio R. and Monge, Raúl and Gómez, Moisés and Canas, J."
}
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