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2796. Integrated Assessment of a Robust Choquet Integral Preference Model for Efficient Multicriteria Decision Support
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. | Eleftherios Siskos
|
| School of Production Engineering and Management, Technical University of Crete | |
| 2. | Antoine Desbordes
|
| Laboratory for Energy Systems Analysis, Paul Scherrer Institute | |
| 3. | Peter Burgherr
|
| Laboratory for Energy Systems Analysis, Paul Scherrer Institut (PSI) | |
| 4. | Russell McKenna
|
| ETH Zürich |
Abstract
Decision problems are often characterized by complex criteria dependencies, which can hamper the development of an efficient and theoretically sound multicriteria decision aid model. These criteria interactions have the form of either redundancy or synergistic effect and require arduous and demanding preference statements for their quantification. In this paper, criteria interactions in decision models are addressed with the proposition of an MCDA framework, coupling the preference elicitation protocol of the method of cards and the Choquet integral preference model, which is approached as an importance index. An interactive robustness control algorithm ensures the concurrent acquisition of a stable decision model and satisfactory evaluation results. Robustness is assessed with a portfolio of robustness indicators, spanning from the variability of the preference parameters to the reduction of the model’s feasible space and rank acceptability indices. At the algorithm's core, a heuristic module generates pairwise elicitation questions and selects those delivering the highest expected information gain. The whole framework is stress-tested with a small-scale decision problem, where three versions of the heuristics are automatically applied, with the machine randomly answering the questions. Subsequently, the same problem is approached with the involvement of a real decision-maker, to appraise the required cognitive effort and receive valuable feedback.
Keywords
- Multi-Objective Decision Making
- Decision Support Systems
- Decision Analysis
Status: accepted
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