Abstract
In this chapter we describe some other works reported in the literature optimizing type-2 fuzzy systems using different kinds of optimization algorithms (other than GAs, PSO or ACO, which were covered in previous chapters). Most of these works have had relative success according to the different areas of application. In this chapter, we offer a representative and brief review of these types of works to illustrate the advantages of using the corresponding optimization techniques for automating the design process or parameters of type-2 fuzzy systems.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
R.A. Aliev, W. Pedrycz, B.G. Guirimov, R.R. Aliev, U. Ilhan, M. Babagil, S. Mammadli, Type-2 fuzzy neural networks with fuzzy clustering and differential evolution optimization. Info. Sci. 181(9), 1591–1608 (2011)
D. Hidalgo, P. Melin, O. Castillo, Type-2 fuzzy inference system optimization based on the uncertainty of membership functions applied to benchmark problems. Lecture Notes in Computer Science, vol. 6438 (2010), pp. 454–464
D. Hidalgo, P. Melin, O. Castillo, Optimal design of type-2 fuzzy membership functions using genetic algorithms in a partitioned search space, in Proceedings of the IEEE International Conference on Granular Computing, GrC 2010, San Jose, Aug 2010, pp. 212–216
S.M.A. Mohammadi, A.A. Gharaveisi, M. Mashinchi, An evolutionary tuning technique for type-2 fuzzy logic controller in a non-linear system under uncertainty, in Proceedings of the 18th Iranian Conference on Electrical Engineering, ICEE 2010, pp. 610–616
D. Hidalgo, P. Melin, G. Licea, O. Castillo, Optimization of type-2 fuzzy integration in modular neural networks using an evolutionary method with applications in multimodal biometry. Lecture Notes in Computer Science, vol. 5845 (2009), pp. 454–465
D. Hidalgo, P. Melin, O. Mendoza, Evolutionary optimization of type-2 fuzzy systems based on the level of uncertainty, in Proceedings of the IEEE World Congress on Computational Intelligence, WCCI 2010, Barcelona, July 2010
O. Castillo, P. Melin, A. Alanis, O. Montiel, R. Sepulveda, Optimization of interval type-2 fuzzy logic controllers using evolutionary algorithms. J. Soft Comput. 15(6), 1145–1160 (2011)
J.C.F. Garcia, An evolutive interval type-2 TSK fuzzy logic system for volatile time series identification, in Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 2009, pp. 666–671
R. Muñoz, O. Castillo, P. Melin, Optimization of fuzzy response integrators in modular neural networks with hierarchical genetic algorithms: the case of face, fingerprint and voice recognition. Stud. Comput. Intell. 257, 111–129 (2009)
F. Menolascina, V. Bevilacqua, M. Zarrilli, G. Mastronardi, Induction of fuzzy rules by means of artificial immune systems in bioinformatics. Stud. Fuzziness Soft Comput. 242, 1–17 (2009)
K.J. Poornaselvan, T. Gireesh Kumar, V.P. Vijayan, Agent based ground flight control using type-2 fuzzy logic and hybrid ant colony optimization to a dynamic environment, in Proceedings of the 1st International Conference on Emerging Trends in Engineering and Technology, ICETET 2008, 2008, pp. 343–348
O. Castillo, A.I. Martinez, A.C. Martinez, Evolutionary computing for topology optimization of type-2 fuzzy systems. Adv. Soft Comput. 41, 63–75 (2007)
L. Astudillo, P. Melin, O. Castillo, A new optimization method based on a paradigm inspired by nature. Stud. Comput. Intell. 312, 277–283 (2010)
O. Castillo, G. Huesca, F. Valdez, Evolutionary computing for topology optimization of type-2 fuzzy controllers. Stud. Fuzziness Soft Comput. 208, 163–178 (2008)
L. Astudillo, O. Castillo, L.T. Aguilar, R. Martinez, Hybrid control for an autonomous wheeled mobile robot under perturbed torques. Lecture Notes in Computer Science, vol. 4529 (2007), pp. 594–603
R. Sepulveda, O. Montiel, O. Castillo, P. Melin, Optimizing the MFs in type-2 fuzzy logic controllers, using the human evolutionary model. Int. Rev. Autom. Control 3(1), 1–10 (2011)
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2012 The Author(s)
About this chapter
Cite this chapter
Castillo, O., Melin, P. (2012). Other Methods for Optimization of Type-2 Fuzzy Systems. In: Recent Advances in Interval Type-2 Fuzzy Systems. SpringerBriefs in Applied Sciences and Technology(), vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28956-9_7
Download citation
DOI: https://doi.org/10.1007/978-3-642-28956-9_7
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28955-2
Online ISBN: 978-3-642-28956-9
eBook Packages: EngineeringEngineering (R0)