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2563. A Seven-Valued Logic for Multicriteria Decision Aiding
Invited abstract in session MA-44: Preference Learning 1, stream Multiple Criteria Decision Analysis.
Monday, 8:30-10:00Room: 20 (building: 324)
Authors (first author is the speaker)
| 1. | Roman Slowinski
|
| Institute of Computing Science, Poznan University of Technology | |
| 2. | Salvatore Greco
|
| Department of Economics and Business, University of Catania |
Abstract
In recent discussions on reasoning about data using the rough set concept, a class of many-valued logics has emerged to differentiate between vagueness resulting from imprecision and ambiguity arising from coarseness. These logics, including the renowned Belnap four-valued logic, stem from a comprehensive seven-valued logic framework. This study explores the application of the seven-valued logic and its derivatives in multicriteria decision aiding (MCDA). Specifically, we demonstrate how our approach effectively addresses common challenges in MCDA, such as uncertainty, imprecision, ill-determination, and related robustness concerns.
Keywords
- Decision Analysis
- Decision Support Systems
- Decision Theory
Status: accepted
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