RECOGNITION METHODS OF FUZZY SITUATIONS TO MANAGE MOBILE ROBOTS IN FARMING

Abstract

The paper offers a method to recognize current fuzzy situations in management of mobile robots in farming. It allows to understand and evaluate the current situation in complex dynamic conditions, when there is an incompleteness and inaccuracy of the original data. The technique is based on fuzzy situational management of objects, which is based on the situational management model «situation – action».