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| MATH0051-1

 | Multicriteria Analysis Applied to Environment Management

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| Duration : | 15h Th, 15h Pr | |
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| Credits/ECTS : |
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| Holder(s) : | Daniel Dubois | |
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| Course contents :
| The multicriteria analysis aims at providing tools which make it possible to progress in the resolution of a problem of choice, decision or action where several criteria, often contradictory, must be taken into account. The first observation which must be made, when one tackles such a problem, is that there does not exist, in general, a solution which is the best simultaneously for all the criteria. The multicriteria methods provide solutions of better compromise. This course constitutes an introduction to the multicriteria analysis: - the modeling of the preferences - basic concepts of the multicriteria assistance to the decision - the theory of the multiattribute utility - outclassing and interactive methods - various questions - software of multicriteria analysis. Real case studies will be particularly analyzed within the framework of the management of the environment. | |
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| Course objective :
| The objective of the course is triple: 1. To show the importance of the multicriteria analysis in the formulation of decision-making; 2. To describe methods of multicriteria analysis, as an extension of the mono-criterion methods (like the linear programming); 3. To apply methods to management of the environment (for example, to optimize the treatment of waste water). | |
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| Prerequisites :
| No prerequisites. | |
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| Workshops :
| A personal work will be requested from the student. | |
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| Organization :
| Ex-cathedra lectures | |
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| Written notes :
| Syllabi will be available on the virtual campus: http://campus.hec.ulg.ac.be (http://campus.hec.ulg.ac.be/) | |
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| Assessment :
| The evaluation is based on the personal work completed by the student and on the final written report. | |
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| Contacts :
| Daniel Dubois, Chargé de Cours HEC-ULg,
Daniel.Dubois@ulg.ac.be
GSM 04 95 510 419 Office 025, Institut de Mathématique, B37, Parking 32, Grande Traverse 12, B-4000 Liège 1 (Sart Tilman) | |
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