Abstract
A new approach to system reliability analysis is proposed. This approach combines the descriptive tools of Glushkov's algorithmic algebra and the quantitative tools of L. Zadeh's fuzzy logic. The rules for transition from operations in an algorithmic algebra to operations with membership functions of fuzzy sets are obtained. These rules allow evaluating the correctness distribution of the algorithm execution depending on the values of the measurable parameters.
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