Algorithm for Setting Fuzzy Logical Inclusion Systems Based on Statistical Data
Author:
Publisher
Allerton Press
Subject
General Medicine
Link
https://link.springer.com/content/pdf/10.3103/S0005105523010028.pdf
Reference15 articles.
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3. Piegat, A., Fuzzy Modeling and Control, Studies in Fuzziness and Soft Computing, vol. 69, Berlin Heidelberg: Springer, 2001. https://doi.org/10.1007/978-3-7908-1824-6
4. Manentia, F., Rossia, F., Goryunov, A.G., Dyadik, V.F., Kozin, K.A., Nadezhdin, I.S., and Mikhalevich, S.S., Fuzzy adaptive control system of a non-stationary plant with closed-loop passive identifier, Resour.-Effic. Technol., 2015, vol. 1, no. 1, pp. 10–18. https://doi.org/10.1016/j.reffit.2015.07.001
5. Golosovskiy, M., Bogomolov, A., and Tobin, D., Algorithm for configuring fuzzy inference systems by reference points based on the average value, Research Square Platform (Preprint), 2021. https://doi.org/10.21203/rs.3.rs-172755/v1
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1. Computer Technologies for Information Support of Automated Systems;Journal of Computational and Engineering Mathematics;2024
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