USING THE GENETIC ALGORITHM FOR FUZZY MODEL SETUP INTERVAL TYPE-2 IDENTIFICATION PROBLEM OF NONEQUILIBRIUM OBJECTS

Authors

  • Nataliia Romanivna Kondratenko Vinnitsa National Technical University, Khmelnytsky Highway 95, Vinnitsa, 21021
  • Oleh Anatoliiovych Tkachuk Vinnitsa National Technical University, Khmelnytsky Highway 95, Vinnitsa, 21021

Abstract

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.

Author Biographies

Nataliia Romanivna Kondratenko, Vinnitsa National Technical University, Khmelnytsky Highway 95, Vinnitsa, 21021

c.t.s., associate professor, professor of information security

Oleh Anatoliiovych Tkachuk, Vinnitsa National Technical University, Khmelnytsky Highway 95, Vinnitsa, 21021

Postgraduate student of information security

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How to Cite

[1]
N. R. Kondratenko and O. A. Tkachuk, “USING THE GENETIC ALGORITHM FOR FUZZY MODEL SETUP INTERVAL TYPE-2 IDENTIFICATION PROBLEM OF NONEQUILIBRIUM OBJECTS”, ІТКІ, vol. 21, no. 2, Oct. 2012.

Issue

Vol. 21 No. 2 (2011): Information Technology and Computer Engineering

Section

Mathematical modeling and computational methods

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