The decision-making process in intelligent subsystems of embedded systems based on fuzzy approximate reasoning

The article considers the approach for evaluating alternative hypotheses and choosing rational solutions by intelligent subsystems of embedded systems under incomplete, insufficient or inconsistent source/external information. The presented method is based on the use of fuzzy inference networks that allow determining the coefficients of reliability of facts and rules, based on which the intellectual core of the embedded system makes a decision. A generalized decision-making technique using approximate reasoning in intelligent computer systems is proposed.