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Memorias de investigación
Communications at congresses:
: Preference Intensity in MCDM when an Additive Utility Function Represents DM Preferences
Year:2012
Research Areas
  • Engineering
Information
Abstract
We propose a new method for ranking alternatives in multicriteria decision-making problems when there is imprecision concerning the alternative performances, component utility functions and weights. We assume decision maker?s preferences are represented by an additive multiattribute utility function, in which weights can be modeled by independent normal variables, fuzzy numbers, value intervals or by an ordinal relation. The approaches are based on dominance measures or exploring the weight space in order to describe which ratings would make each alternative the preferred one. On the one hand, the approaches based on dominance measures compute the minimum utility difference among pairs of alternatives. Then, they compute a measure by which to rank the alternatives. On the other hand, the approaches based on exploring the weight space compute confidence factors describing the reliability of the analysis. These methods are compared using Monte Carlo simulation.
International
Si
Congress
FLINS2012
960
Place
Estambul, Turquía.
Reviewers
Si
ISBN/ISSN
978-981-4417-73-0
Start Date
26/08/2012
End Date
29/08/2012
From page
106
To page
111
Uncertainty Modeling in Knowledge Engineering and Decision Making
Participants
  • Autor: Alfonso Mateos Caballero (UPM)
  • Autor: Antonio Jimenez Martin (UPM)
  • Autor: Ernesto Aaron Aguayo Garcia (UPM)
  • Autor: P. Sabio
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de análisis de decisiones y estadística
  • Departamento: Inteligencia Artificial
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