As simple as possible but not simpler in Multiple Criteria Decision Aiding: the robust-stochastic level dependent Choquet integral approach
| Autor: | Salvatore Greco, Salvatore Corrente, Sally Giuseppe Arcidiacono |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Mathematical optimization
Decision support system Information Systems and Management General Computer Science Computer science 0211 other engineering and technologies 02 engineering and technology Interval (mathematics) Management Science and Operations Research Decision support systems Ordinal regression Industrial and Manufacturing Engineering 0502 economics and business Robust Ordinal Regression Stochastic Multicriteria Acceptability Analysis Preference (economics) Level dependent Choquet integral Ranking of university 050210 logistics & transportation Stochastic multicriteria acceptability analysis 021103 operations research 05 social sciences Business and Management Decision problem Ranking of University embargoover12 Choquet integral Ranking Modeling and Simulation Multiple criteria Preference relation |
| Zdroj: | Arcidiacono, S G, Corrente, S & Greco, S 2019, ' As simple as possible but not simpler in Multiple Criteria Decision Aiding: the robust-stochastic level dependent Choquet integral approach ', European Journal of Operational Research . https://doi.org/10.1016/j.ejor.2019.07.065 |
| Popis: | The level dependent Choquet integral has been proposed to handle decision making problems in which the importance and the interaction of criteria may depend on the level of the alternatives’ evaluations. This integral is based on a level dependent capacity, which is a family of single capacities associated to each level of evaluation for the considered criteria. We present two possible formulations of the level dependent capacity where importance and interaction of criteria are constant inside each one of the subintervals in which the interval of evaluations for considered criteria is split or vary with continuity inside the whole interval of evaluations. Since, in general, there is not only one but many level dependent capacities compatible with the preference information provided by the Decision Maker, we propose to take into account all of them by using the Robust Ordinal Regression (ROR) and the Stochastic Multicriteria Acceptability Analysis (SMAA). On one hand, ROR defines a necessary preference relation (if an alternative a is at least as good as an alternative b for all compatible level dependent capacities), and a possible preference relation (if a is at least as good as b for at least one compatible level dependent capacity). On the other hand, considering a random sampling of compatible level dependent capacities, SMAA gives the probability that each alternative reaches a certain ranking position as well as the probability that an alternative is preferred to another. A real-world decision problem on rankings of universities is provided to illustrate the proposed methodology. |
| Databáze: | OpenAIRE |
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