Knowledge-based multi-attribute classification problems structuring

Knowledge-based multi-attribute classification problems are, at least, ill-structured or even unstructured ones, since a human being judgments are the primary source of information for their solving. Thus, not only the classification rules eliciting, but the application domain (AD) structuring as well is a complex problem itself, particularly, in the context of complete (up to the expert knowledge) and consistent knowledge base construction for a diagnostic decision support system (DDSS). Two techniques are proposed as aids for an expert in such problem structuring. It is argued that AD structuring and classification rules eliciting have to be arranged as interconnected procedures.