CREATION OF HYBRID INTELLIGENT SYSTEM FOR NONLINEAR RELATIONS IDENTIFICATION

Mukhamedieva D. T, Safarova L.U

Abstract: There is usually no opportunity to form simple sufficient symbolic-form models for complex processes defined as indeterminacy (inaccuracy, unstochasticity, incompleteness, fuzziness) in the background information and situations of external and internal environment. Information on parameters of such processes is expressed by experts in words and statements, i.e. in linguistic form. In these cases, it is advisable to apply such systems as modelling, decision-making and regulation that use technological tools of soft computing (Soft Computing). In view of this, the methods of nonlinear relation identification based on hybrid intelligent system formation are examined in the current article.

Keywords: linguistic form, intelligent system, hybrid intellectual system, fuzzy logic.

DOI: https://doi.org/10.15623/ijret.2017.0609005