Abstract: This paper proposes an approach, enabling one to build Pareto optimal fuzzy approximators. We present algorithm generation of fuzzy approximator structure. Simulation results confirmed that algorithms are a useful tool for tuning fuzzy systems to achieve better performance.
Keywords: fuzzy approximators, pareto optimality, generating structure, metaheuristics
For citation:
Hodashinskiy I. A., Gorbunov I. V., Sinkov D. S. Algorithms for generating structures of two-criterion Pareto optimal fuzzy approximators. Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki, 2013, no. 1(27), pp. 135–142.
Authors and copyright holders:
- Hodashinskiy I. A. , Tomsk State University of Control Systems and Radioelectronics (Tomsk, Russia)
- Gorbunov I. V.
- Sinkov D. S.
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