Abstract
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.
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Furems, E.M. Domain structuring for knowledge-based multiattribute classification (a verbal decision analysis approach). TOP 19, 402–420 (2011). https://doi.org/10.1007/s11750-009-0133-0
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DOI: https://doi.org/10.1007/s11750-009-0133-0
- Multiattribute classification problems
- Verbal decision analysis
- Knowledge acquisition
- Application domain structuring
- Large-size problem decomposition