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3087. The Deck-of-Cards-Based Ordinal Regression
Invited abstract in session MC-44: MCDM for project portfolio problems, stream Multiple Criteria Decision Analysis.
Monday, 12:30-14:00Room: 20 (building: 324)
Authors (first author is the speaker)
| 1. | Maria Barbati
|
| Department of Economics, Ca' Foscari University of Venice | |
| 2. | Salvatore Greco
|
| Department of Economics and Business, University of Catania | |
| 3. | Isabella Lami
|
| DIST, Politecnico di Torino |
Abstract
We define a new multicriteria decision-aiding procedure to manage decision-makers' preferences. The preferences are elicited by conjugating the deck of cards method with the ordinal regression approach. The deck-of-cards method allows the DM to express the ranking order of reference alternatives and the intensity of preferences between reference alternatives. An ordinal regression procedure is then used to define a multicriteria value function that represents the ranking of the reference alternatives as well as the preference intensity. We show how this methodology can be usefully applied to different forms of a value function, such as weighted sum, Choquet integral, and additive value function.
Keywords
- Multi-Objective Decision Making
- Combinatorial Optimization
- Critical Decision Making
Status: accepted
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