 | Study programme 2019-2020 | Français | |
| Multiple Criteria Decision Analysis | |||
Learning Activity |
| Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
|---|---|---|---|---|
| I-MANA-013 |
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| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
|---|---|---|---|---|---|---|---|
| Français | Français | 18 | 6 | 0 | 0 | 0 | Q2 |
| Organisational online arrangements for the end of Q3 2019-2020 assessments (Covid-19) |
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| Description of the modifications to the Q3 2019-2020 online assessment procedures (Covid-19) |
| Written exam consisting of exercises on the whole set of lectures. |
Content of Learning Activity
multiple criteria decision aid (multi-criteria problems, discussion of the weighted sum, additive value functions, outranking methods, decision under uncertainty and risk); introduction to deliberative process; introduction to game theory, treatment of uncertainty (introduction to fuzzy sets and fuzzy logic).
Required Learning Resources/Tools
Not applicable
Recommended Learning Resources/Tools
Not applicable
Other Recommended Reading
Ph. Vincke, 1989, L'aide multicritère à la décision, Editions de l'Université de Bruxelles et Editions Ellipses. English version: Multicriteria Decision-Aid, Wiley, 1992
M. Ehrgott, 2005, Multicriteria Optimization, Springer
Mode of delivery
- Face to face
Type of Teaching Activity/Activities
- Cours magistraux
- Conférences
- Exercices dirigés
- Utilisation de logiciels
- Démonstrations
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)