Abstract
The authors consider an algorithm for generating consistent decision rules for choosing a rational alternative from a set of automation system functional diagrams using the mathematical apparatus of fuzzy logic and rough set theory. The algorithm enables a multicriteria assessment of complex diagram variants without a noticeable increase in time complexity compared to the assessment of single-loop diagrams. The paper formulates the requirements for training sets of functional diagrams, taking into account the characteristics of their circuits and application areas. The use of the algorithm simplifies the development of automation diagrams for technological objects and allows improving the quality of their design solutions.
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