Diagnosis of continuous objects with the use of a statistical coordination criterion

The paper is concerned with plant diagnosis from a continuous scalar state attribute whose distribution parameters on the set of objects of every class are random. The proposed solution method does not require evaluation of the distribution parameters and relies on a new coordination criterion which is independent of the form of the attribute distribution function and features high cardinality. Examples of application are given.