Conditional contradictions in diagnostic knowledge bases

A recognition of the actual technical state of an object is possible by means of diagnostic expert systems. Knowledge bases of such systems are collected by teams of experts and unfortunately they are not free from errors. Identification of errors, and in particular identification of conditional errors is a very hard task. The paper introduces a measure called disagreement level and enabling identification of erroneous data as well as errors in models represented by means of diagnostic knowledge bases.