Аңдатпа
For solving problems of information security assessment risk often need to perform data processing in fuzzy conditions. To implement such a process, uses a system, in which the estimation is based on the linguistic variables, that are based on standard parametric trapezoidal fuzzy numbers of a predetermined number of terms. Etalons are defined by experts on the step of basic units initialization during system settings. The efficiency of its use will increase if the correction of etalons will be provided without the involvement of appropriate experts. To solve this problem we propose a method of n-fold incrementation the number of terms using expert estimates made at the stage of system settings. This will simplify the procedure for adjustment of etalons, due to the implementation of the n-fold increment the number of terms for the trapezoidal fuzzy numbers.