Estimation and optimization of is discrete-logic decisions accuracy on the distorted actual and a priori data

Abstract

Strict formalization of direct and inverse problems of decision-making in logic scales on the distorted actual and a priori data has been made. The answer to the question in situations with number of the facts 0, 1, 2 has been given: if there are superfluous logic relations – functions and predicates which are not possessing the highest accuracy of diagnostics problems decisions, recognition, classification in the full and homogeneous information world with true and lie sources and how they are ranged on precision.