Received 20.04.2011, Revised 08.07.2011, Accepted 11.08.2011

Using a genetic algorithm to tune a type-2 interval fuzzy model in non-equilibrium object identification problems

Natalia Kondratenko, Oleh Tkachuk

We propose a genetic algorithm to adjust the interval fuzzy model of type-2 in the identification problem of nonequilibrium states of objects with multiple inputs and outputs. We describe the structure of the genetic algorithm, which has chromosomes with heterogeneous structure, as well as sales operations mutation and crossover

genetic algorithm, interval fuzzy model of type 2, non-equilibrium object with multiple inputs and outputs, the fuzzy logic systems
64-68
Kondratenko, N., & Tkachuk, O. (2011). Using a genetic algorithm to tune a type-2 interval fuzzy model in non-equilibrium object identification problems. Information Technologies and Computer Engineering, 8(2), 64-68.

References

References in the process of publication