Interval type-2 generalizing fuzzy model for monitoring the states of complex systems using expert knowledge




type-2 fuzzy model, interval membership function, set-theoretic approach, expert knowledge


A type-2 interval generalizing fuzzy model is proposed for monitoring complex systems’ states. A set-theoretic approach is proposed to generalize the results of type-2 fuzzy models with interval membership functions. The study of the correspondence of expert assessments to the output value of the generalizing fuzzy model over the observation interval is presented. Examples of the use of generalizing fuzzy model type-2 in the task of monitoring the conditions of an artesian well are given. It is shown that in order to improve the quality of decisions made, the expert needs to pay attention to the value of the interval output of the generalizing type-2 fuzzy model. Recommendations are presented to experts to improve decision-making regarding the estimation of the output interval of the generalizing model.

Author Biographies

Nataliia Kondratenko, Vinnytsia National Technical University, Vinnytsia

Ph.D., a professor at the Information Security Department of Vinnytsia National Technical University, Vinnytsia, Ukraine.

Olga Snihur

Ph.D., a private entrepreneur, Vinnytsia, Ukraine.

Roman Kondratenko, Belarusian Institute for System Analysis and Information Support of the Scientific and Technical Sphere, Minsk

Ph.D. student at the Belarusian Institute for System Analysis and Information Support of the Scientific and Technical Sphere, Minsk, Belarus.


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Decision making and control in economic, technical, ecological and social systems