The paper is devoted to fault diagnosis problems using fuzzy decision making. We investigate dynamic diagnostic systems which can be represented by symptom-fault rule bases. The main question to be answered is what faults produce observable symptoms in the first moments of their appearance. To solve this task we propose to use a set of agents for making fuzzy hypothesis about symptoms and to solve inverse fuzzy relations