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2051. ScoreBin: Scoring Alternatives by Fusing a Crisp Outranking Relation and Indirect Decision Maker's Judgments
Invited abstract in session MD-44: Robustness analysis in MCDA 1, stream Multiple Criteria Decision Analysis.
Monday, 14:30-16:00Room: 20 (building: 324)
Authors (first author is the speaker)
| 1. | Krzysztof Martyn
|
| Institute of Computing Science, Poznan University of Technology | |
| 2. | Magdalena Martyn
|
| Institute of Computing Science, Poznan University of Technology | |
| 3. | Milosz Kadzinski
|
| Institute of Computing Science, Poznan University of Technology |
Abstract
We introduce a suite of multiple criteria methods that fuse two sources of information. On the one hand, we exploit a crisp outranking relation in the set of alternatives. For each option, we analyze the outranked and outranking alternatives to compute its strength, weakness, and comprehensive quality. We propose four variants that differ in weights assigned to outranking or being outranked by particular alternatives and how to quantify the difficulty or easiness of instantiating such relations. On the other hand, we consider the Decision Makers' holistic judgments, indicating subsets of alternatives deemed as comprehensively strong or weak. We apply the proposed methods to a case study concerning the performance of technological parks in Poland. We also compare the results obtained with the novel approaches with the state-of-the-art ELECTRE methods in an extensive experiment involving simulated decision problems.
Keywords
- Decision Analysis
- Stochastic Models
- OR in Development
Status: accepted
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