INTELLECTUAL DECISION SUPPORT SYSTEM MAKING IN THE MANAGEMENT OF THE FERMENTATION PROCESS

Abstract

The hybrid intellectual system is developed for solving problems of managerial decision-making. For training the fuzzy neural systems by using a hybrid method based on the joint use of the algorithm back-propagation (Back-propagation) and the least squares method. The obtained simulation results of fuzzy neural network using FlexTools and Fuzzy Logic Toolbox for MATLAB. The proposed approach significantly improves the efficiency of the methodology of intellectual systems for decision support in the management of poorly formalized process of fermentation.

Keywords

• гибридная интеллектуальная система
• нечеткая нейронная система
• система поддержки принятия решений
• hybrid intellectual system
• fuzzy neural system
• decision support system