816. Dominance-Based Rough Set Approach and Seven-Valued Logic for Multicriteria Decision Aiding
Invited abstract in session MB-8: Preference Learning 1, stream Multiple Criteria Decision Aiding.
Monday, 10:30-12:00Room: Clarendon SR 2.08
Authors (first author is the speaker)
| 1. | Salvatore Greco
|
| Department of Economics and Business, University of Catania | |
| 2. | Roman Slowinski
|
| Institute of Computing Science, Poznan University of Technology |
Abstract
The Dominance-based Rough Set Approach (DRSA) has proven to be a valuable tool in Multicriteria Decision Aiding (MCDA) due to its ability to represent decision maker preferences through "if…, then…" decision rules expressed in natural language. This feature makes DRSA particularly well-suited to address the increasing demands for interpretability and explainability in decision-making processes. Here, we integrate DRSA with a recently proposed seven-valued logic for data analysis, which allows us to distinguish uncertainty due to imprecision from that caused by ambiguity arising from the granularity of information. This combined approach effectively addresses key MCDA challenges related to uncertainty, imprecision, and indeterminacy.
Keywords
- Multi-Objective Decision Making
- Decision Analysis
- Decision Support Systems
Status: accepted
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