The chapter presents an algorithm for configuring fuzzy inference systems of the Sugeno
type of zero-order based on statistical data. The algorithm is based on the allocation of a set …

Systems, generally being nonlinear behaves unexpectedly due to external disturbances.
Therefore, operation controllers are needed in tracking, chemical engineering, electrical …

The article proposes an optimized algorithm that allows the use of a fuzzy inference system
with a large number of inference rules (about 10 million) in computing systems limited by …

Предложен алгоритм настройки систем типа Мамдани, использующий для подстройки
правил нечёткого логического вывода принцип пропорционально-интегрального …

An algorithm for tuning fuzzy inference systems of the Sugeno type of zero order based on
statistical data is presented, which assumes the allocation of a set of reference points in the …

Как правило, в современной промышленности на любом этапе производственного
процесса существует высокий уровень автоматизации. При этом технологические …

Резюме Цель исследования-совершенствование настройки нечеткого логического
вывода в медицинских информационных системах, основанных на знаниях. Методы …

It is well known the fact that the design of a fuzzy control system is based on the human
expert experience and control engineer knowledge regarding the controlled plant behavior …

The goal of this work is to develop a fuzzy rule base optimization method of intelligent
controllers for technical objects using fuzzy clustering. To achieve the goal of the study, a …

Eel is a high economic value commodity. International market demand for this fish is high
enough, so a lot of farmers cultivated it with main objective of export. The problem in eel fish …