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Memorias de investigación
Communications at congresses:
Ranking Alternatives on the Basis of the Intensity of Dominance and Fuzzy Logic within MAUT
Year:2010
Research Areas
  • Mathematics
Information
Abstract
We introduce dominance measuring methods to derive a ranking of alternatives to deal with incomplete information in multi-criteria decision making problems on the basis of Multi-Attribute Utility Theory (MAUT). We consider the situation where the alternative performances are represented by uniformly distributed intervals, and there exists imprecision concerning the decision-makers¿ preferences, by means of classes of individual utility functions and imprecise weights represented by weight intervals or fuzzy weights, respectively. An additive multi-attribute utility model is used to evaluate the alternatives under consideration, which is considered a valid approach in most practical cases. The approaches we propose are based on the dominance values between pairs of alternatives that can be computed by linear programming, which are then transformed into dominance intensities from which a dominance intensity measure is derived. The methods proposed are compared with other existing dominance measuring methods and other methodologies by Monte Carlo simulation techniques. The performance is analyzed in terms of two measures of efficacy: hit ratio, the proportion of all cases in which the method selects the same best alternative as in the TRUE ranking, and the Rank-order correlation, which represents how similar the overall rank structures of alternatives are in the TRUE ranking and in the ranking derived from the method. The approaches are illustrated with an example consisting on the selection of intervention strategies to restore an aquatic ecosystem contaminated by radionuclides.
International
Si
Congress
52nd Annual Conference of the Operational Research Society
960
Place
Royal Holloway University
Reviewers
Si
ISBN/ISSN
978-989-96247-3-3
Start Date
07/09/2010
End Date
09/09/2010
From page
1
To page
15
OR52 Annual Conference
Participants
  • Autor: Antonio Jimenez Martin (UPM)
  • Participante: PILAR SABIO (Universidad Rey Juan Carlos)
  • Autor: Alfonso Mateos Caballero (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de análisis de decisiones y estadística
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