Maximal-confirmation diagnoses

This paper investigates the consequences of using inaccurate values.1 The paper will show that traditional notions of preferred diagnoses such as abductive diagnosis and minimum consistency-based diagnosis are no longer suited if the available data has different accuracies. A new notion of preferred diagnoses, called maximal-confirmation diagnoses, is introduced.