Forecasting method of illegal activities on state border and seized areas

A method of predicting illegal activities in the area of responsibility of State Border seized areas using fuzzy logic is developed. The novelty of the technique is that the author proposed fuzzy model tuning procedures using immune optimization algorithms and determine the parameters of input variables. Using this technique makes it possible to take into consideration during the forecasting quality indicators, inaccurate and approximate information, knowledge of border surveillance experts.