Domain structuring for knowledge-based multiattribute classification (a verbal decision analysis approach)

• Eugenia M. Furems ^[1]
  1. [1] Russian Academy of Science, Rusia
• Localización: Top, ISSN-e 1863-8279, ISSN 1134-5764, Vol. 19, Nº. 2, 2011, págs. 402-420
• Idioma: inglés
• Enlaces
  • Texto completo (pdf)
• Resumen

  • Classification problems in decision making are, at least, ill-structured or even unstructured ones, since, among other things, human judgments (i.e., Decision Maker preferences and/or expert knowledge) are the primary sources of information for their solving. Thus, not only the classification rules eliciting, but the application domain structuring as well, is a complex problem itself. The paper focuses on knowledge-based classification problem structuring in the context of complete (up to the expert knowledge) and consistent knowledge base construction for a Diagnostic Decision Support System. Two structuring techniques are proposed as expert aids, as well as an approach to large-size problem decomposition. It is asserted that application domain structuring and classification rules eliciting have to be arranged as interconnected procedures.