Algorithms of the tradeoff between accuracy and complexity in the design of fuzzy approximators
Author:
Publisher
Allerton Press
Subject
Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation
Link
http://link.springer.com/content/pdf/10.3103/S875669901306006X.pdf
Reference19 articles.
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2. M. Fazzolari, R. Alcala, Y. Nojima, et al., “A Review of the Application of Multiobjective Evolutionary Fuzzy Systems: Current Status and Further Directions,” IEEE Trans. Fuzzy Systems 21(1), 45–65 (2013).
3. M. J. Gacto, R. Alcala, and F. Herrera, “Interpretability of Linguistic Fuzzy Rule-Based Systems: An Overview of Interpretability Measures,” Inform. Sci. 181(20), 4340–4360 (2011).
4. P. Pulkkinen and H. Koivisto, “A Dynamically Constrained Multiobjective Genetic Fuzzy System for Regression Problems,” IEEE Trans. Fuzzy Systems 18(1), 161–177 (2010).
5. J. Casillas, P. Martinez, and A. D. Benitez, “Learning Consistent, Complete and Compact Sets of Fuzzy Rules in Conjunctive Normal Form for Regression Problems,” Soft Computing 13(5), 451–465 (2009).
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