Multi-objective Genetic Algorithm and Interpolation Based Nonlinear Control Model

Author:

Ekmekci DursunORCID,Shahbazova Shahnaz N.ORCID

Publisher

Springer International Publishing

Reference31 articles.

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2. Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–353 (1965)

3. Gacto, M.J., Alcalá, R., Herrera, F.: A multi-objective evolutionary algorithm for tuning fuzzy rule-based systems with measures for preserving interpretability. In: 2009 International Fuzzy Systems Association World Congress and 2009 European Society for Fuzzy Logic and Technology Conference, IFSA-EUSFLAT 2009 – Proceedings, pp 1146–1151 (2009)

4. Alcalá, R., Gacto, M.J., Herrera, F., Alcalá-Fdez, J.: A multi-objective genetic algorithm for tuning and rule selection to obtain accurate and compact linguistic fuzzy rule-based systems. Int. J. Uncertainty Fuzz. Knowl. Based Syst. 15, 539–557 (2007). https://doi.org/10.1142/S0218488507004868

5. Deb, K.: Multi-Objective Optimization Using Evolutionary Algorithms. Wiley, Hoboken (2001)

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