**4.5 Rules and methodology of modeling of dependence of prognostic competence general level depend on the development of the most factors**

We used the Mamdani algorithm mode. We needed 3 input variables, each of which corresponded to a factor influencing the formation of predictive competence, and 1 outgoing – the level of competence formation. The type of membership function for predictive competence is gaussmf, since most pedagogical phenomena are subject to the normal Gauss distribution [10]. For factors that determine the development of prognostic competence – the type of membership function – trimf.

The evaluation interval for the influence of each of the factors is 0–100, which corresponds to conditional estimates: "low level" (F), "below average" (D), "average level of efficiency" (C), "above average" (B), "High level" (A). The creative level of the development of predictive competence will be estimated at 100 points (A), productive – 75 points (B), reproductive – 60 points (D), formal level – below 60 points, but above 20 (F).

To formulate the rules of fuzzy logic we will use the MS Excel 2007. We have formulated 125 fuzzy logic rules (5^3), but in article we will present only a few examples:






