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To present new results concerning the applications of the uncertain variables to analysis and decision problems in a class of uncertain knowledge‐based systems described by a relational knowledge representation.

The analysis and decision‐making problems are formulated, the general forms of the solutions are described, the theorem concerning the optimal solution is presented, numerical examples illustrating the general theoretical approaches are included.

The uncertain variables have been proved as convenient tool for solving specific optimization problems based on relational knowledge representations with unknown parameters.

Formulation and solving optimization problem for the given certainty threshold, application to the problem of resource and task distributions in a complex of parallel operations, indications of possible practical applications.