Modeling of algorithmic process reliability with fuzzy source data

This paper proposes the method, which allows predicting such reliability figures of a discrete algorithmic process as the fuzzy time and the fuzzy probability of correct execution. Fuzzy numbers represents the uncertain source modeling data. Fuzzy rule bases used for taking into account dependence of source data on many influencing factors. Fuzzy logic inference, fuzzy extension principle together the crisp reliability models of algorithmic processes are used for modeling.