Modeling the decision-making problem for multi-connected technical systems based on expert knowledge

Abstract

The problem of evaluating the effectiveness of a carousel-type grain dryer is considered. To solve this problem, we used the fuzzy-probability approach of Zadeh-Mamdani, based on expert knowledge. The substantiation of the factor space systemically describing the functioning of the grain dryer is carried out. A fuzzy probability model is constructed in the space of linguistic variables. The article presents a method for constructing a functioning model of the carousel-type grain dryer, which allows obtaining quantitative estimates of the technological process state in a four-dimensional space of linguistic variables. It is established that to ensure the technological reliability of the grain drying process in carousel-type installations, it is necessary to use an automatic control system based on operational control of the system output parameters.