A method for the detection of the most suitable fuzzy implication for data applications
Author:
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering
Link
http://link.springer.com/content/pdf/10.1007/s12530-018-9233-0.pdf
Reference33 articles.
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3. Bejarbaneh BY, Bejarbaneh EY, Amin MFM et al (2018) Intelligent modelling of sandstone deformation behavior using fuzzy logic and neural network systems. Bull Eng Geol Environ 77:345–361. https://doi.org/10.1007/s10064-016-0983-2
4. Brito P, Duarte Silva AP (2012) Modelling interval data with normal and skew-normal distributions. J Appl Stat 39:3–20. https://doi.org/10.1080/02664763.2011.575125
5. Czogal a E, Leski J (2001) On equivalence of approximate reasoning results using different interpretations of fuzzy if–then rules. Fuzzy Set Syst 117:279–296. https://doi.org/10.1016/S0165-0114(98)00412-6
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