Abstract
There have also been several works reported in the literature optimizing type-2 fuzzy systems using different kinds of Ant Colony Optimization algorithms. 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 ACO optimization techniques for automating the design process or parameters of type-2 fuzzy systems.
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Castillo, O., Melin, P. (2012). Ant Colony Optimization Algorithms for the Design 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_6
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DOI: https://doi.org/10.1007/978-3-642-28956-9_6
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