Abstract
This paper presents an analysis of the effects in quality results that bring the use of different types of membership functions in an interval type-2 fuzzy system, used to adapt some parameters of particle swarm optimization (PSO). Benchmark mathematical functions are used to test the methods, and a comparative study is performed.
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Olivas, F., Valdez, F., Castillo, O. (2016). A Comparative Study of Membership Functions for an Interval Type-2 Fuzzy System Used for Dynamic Parameter Adaptation in Particle Swarm Optimization. In: Zadeh, L., Abbasov, A., Yager, R., Shahbazova, S., Reformat, M. (eds) Recent Developments and New Direction in Soft-Computing Foundations and Applications. Studies in Fuzziness and Soft Computing, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-319-32229-2_26
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DOI: https://doi.org/10.1007/978-3-319-32229-2_26
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