EURO 2024 Copenhagen
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1675. Deck of Cards method for Hierarchical, Robust and Stochastic Ordinal Regression

Invited abstract in session WC-44: MCDA and Composite Indicators: Issues, Advances and Applications 1, stream Multiple Criteria Decision Analysis.

Wednesday, 12:30-14:00
Room: 20 (building: 324)

Authors (first author is the speaker)

1. Silvano Zappalà
Department of Economics and Business, University of Catania
2. Salvatore Corrente
Department of Economics and Business, University of Catania
3. Salvatore Greco
Department of Economics and Business, University of Catania

Abstract

In this paper, we present how to apply the Deck of Cards Method (DCM) for ordinal regression. While the DCM is very well-known and applied in Multiple Criteria Decision Aiding, here, we apply it to assign a value to each alternative evaluated on a set of criteria hierarchically structured. The Decision Maker can provide precise or imprecise information at different levels of the hierarchy of criteria using the classical DCM framework. This information is therefore used to infer a value function compatible with it. The compatible value function can be a simple weighted sum, a piecewise linear value function, a general monotonic value function, or a Choquet integral. To provide robust recommendations to the Decision Maker, the Robust Ordinal Regression and the Stochastic Multicriteria Acceptability Analysis are applied. Even if in different ways, both of them take into account the whole set of models compatible with the preference information provided by the Decision Maker. The applicability of the new proposal is shown by an example in which Italian regions are evaluated on criteria belonging to Circular Economy, Innovation Driven and Specialization macro-criteria.

Keywords

Status: accepted

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