AUTHOMATED METHOD FOR DESIGNING FUZZY SYSTEMS
Abstract
The paper presents a method for building fuzzy systems using the input-output data that can be obtained from examples. Using this method, a rule-based system is created, where fuzzy logic depends on the opinions and preferences of decision-makers involved in the process. Some advantages of the proposed method are high-lighted. We have provided a practical example to illustrate the application of the process.
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A. Bardossy and L. Duckstein: Fuzzy rule-based modeling with application to geophysical, biological and engineering systems. CRC Press, Boca Raton, 1995.
Z. Chi, H. Yan and T. Pham: Fuzzy algorithms: with applications to image processing and pattern recognition. World Scientific, 1996.
D. Dubois and H. Prade: What are fuzzy rules and how to use them, Fuzzy Sets Syst. 84 (1996), 169–185.
S. Guillaume: Designing Fuzzy Inference Systems from Data: An
Interpretability-Oriented Review. IEEE Trans. on Fuzzy Syst. 9 (3) (2001), 426–443.
K. Hirota: Industrial applications of fuzzy technology. Springer-Verlag, 1993.
S. S. Izquierd and L. R. Izquierdo: Mamdani Fuzzy Systems for Modelling and Simulation: A Critical Assessment. Journal of Artificial Societies and Social Simulation 21(3), 2018.
E.P. Klement, R. Mesiar and E. Pap: Triangular Norms. Dordrecht: Kluwer, 2000.
W. Van Leekwijck and E.E. Kerre: Defuzzification: criteria and classification. Fuzzy Sets Syst. 108 (1999), 159–178.
E.H. Mamdani: Applications of fuzzy algorithm for control a simple dynamic plant. In: Proc. of the IEEE 121 (1974), 585–1588.
E.H. Mamdani and S. Assilian: An experiment in linguistic synthesis with a fuzzy logic controller. Int J Man-Mach Stud 7(1) (1975), 1–13.
C. Moraga: An Essay on the Interpretability of Mamdani Systems, in: E. Trillas, P.P. Bonissone, L. Magdalena, J. Kacprzyk (Eds.), Comb. Exp. Theory SE - 5, Springer Berlin Heidelberg, 2012, 61–72.
V. Novak: Reasoning about mathematical fuzzy logic and its future Fuzzy Sets Syst. 192 (2012), 25–44.
V. Novak, I. Perfilieva and A.Dvorak: Insite into fuzzy modeling. John WileySons, Inc., 2015.
S.K. Pal and D.P. Mandal: Fuzzy Logic and Approximate Reasoning: An Overview. IETE J. Res. 37 (2015), 548–560.
W. Pedrycz: Fuzzy Modelling: Paradigms and Practice. Kluwer Academic Press, 1996.
T. Takagi and M. Sugeno: Fuzzy identification of systems and its applications to modeling and control. IEEE Trans Syst Man Cybern 15(1)(1985), 116–132.
L.-X. Wang: A Course In Fuzzy Systems and Control. Prentice Hall PTR, 1997.
DOI: https://doi.org/10.22190/FUMI2005357M
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