Abstract
In this paper, we propose some decision logic languages for rule representation in rough set-based multicriteria analysis. The semantic models of these logics are data tables, each of which is comprised of a finite set of objects described by a finite set of criteria/attributes. The domains of the criteria may have ordinal properties expressing preference scales, while the domains of the attributes may not. The validity, support, and confidence of a rule are defined via its satisfaction in the data table.
Original language | English |
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Pages (from-to) | 340-355 |
Number of pages | 16 |
Journal | European Journal of Operational Research |
Volume | 182 |
Issue number | 1 |
DOIs | |
State | Published - 1 Oct 2007 |
Keywords
- Artificial intelligence
- Decision logic
- Fuzzy sets
- Multicriteria decision analysis
- Rough sets