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author = "J. Fodor and S. Orlovski and P. Perny and M. Roubens",
title = "The Use of fuzzy Preference Models in Multiple Criteria Choice, Ranking and Sorting",
editor = "R. Slowinski",
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year = "1998",
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pages = "69-101",
}
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editor = "Gir\'{o}n, F.J.",
title = "Equilibrium Policies among University Departments",
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Publisher="Kluwer Dordrecht",
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editor={ Loucks, D.P.},
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editor={Beinat, E. and Nijkamp, P.},
booktitle={Multicriteria Evaluation in Land-Use Management: Methodologies and Case Studies},
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pages={79-94},
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author={P. Perny and M. Roubens},
title={Fuzzy preference modelling},
editor={R. {Slowinski}},
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pages={3-30},
publisher={Kluwer Academic, Dordrecht},
year={1998}
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editor = "Stewart, T.J., van der Honert, R.C.",
title = "The Static Approach to Quadratic Dynamic Goal Programming",
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author={Moshkovich, H.M. and Schellenberger, R. and Olson, D.L.},
title={Data influences the result more than preferences: {S}ome lessons from implementation of multiattribute techniques in a real decision task},
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[WWW
] [
]
Abstract: |
"Given a finite set of alternatives, the sorting problem consists in the assignment of each alternative to one of the pre-defined categories. In this paper, we are interested in multiple criteria sorting problems and, more precisely, in the existing method ELECTRE TRI. This method requires the elicitation of parameters (weights, thresholds, category limits,...) in order to construct the DM's preference model. A direct elicitation of these parameters being rather difficult, we proceed to solve this problem in a way that requires from the DM much less cognitive effort. We elicit these parameters indirectly using hollistic information given by the DM through assignment examples. We propose an interactive approach that infers the parameters of an ELECTRE TRI model from assignment examples. The determination of an ELECTRE TRI model that best restitutes the assignement examples is formulated through an optimization problem. The interactive aspect of this approach lies in the possibility given to the DM to revise his/her assignment examples and/or to give additional information before the optimization phase restarts." |
@article{mous2jogo98,
author="V. Mousseau and R. Slowinski",
year=1998,
title="Inferring an {ELECTRE TRI} model from assignment examples",
journal="Journal of Global Optimization",
volume="12",
number="2",
pages="157-174",
pdf="../PDF/mous2jogo98.pdf",
url="http://www.kluweronline.com/issn/0925-5001",
abstract="Given a finite set of alternatives, the sorting problem consists in the assignment of each alternative to one of the pre-defined categories. In this paper, we are interested in multiple criteria sorting problems and, more precisely, in the existing method ELECTRE TRI. This method requires the elicitation of parameters (weights, thresholds, category limits,...) in order to construct the DM's preference model. A direct elicitation of these parameters being rather difficult, we proceed to solve this problem in a way that requires from the DM much less cognitive effort. We elicit these parameters indirectly using hollistic information given by the DM through assignment examples. We propose an interactive approach that infers the parameters of an ELECTRE TRI model from assignment examples. The determination of an ELECTRE TRI model that best restitutes the assignement examples is formulated through an optimization problem. The interactive aspect of this approach lies in the possibility given to the DM to revise his/her assignment examples and/or to give additional information before the optimization phase restarts."
}
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AUTHOR="Pan, J. and Rahman, S.",
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JOURNAL="Electric Power Systems Research",
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AUTHOR="Perny, P. and Vanderpooten, D.",
TITLE="An interactive multiobjective procedure for selecting medium-term countermeasures after nuclear accidents",
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VOLUME=7,
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