Memorias de investigación
Ponencias en congresos:
: Preference Intensity in MCDM when an Additive Utility Function Represents DM Preferences
Año:2012
Áreas de investigación
  • Ingenierías
Datos
Descripción
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.
Internacional
Si
Nombre congreso
FLINS2012
Tipo de participación
960
Lugar del congreso
Estambul, Turquía.
Revisores
Si
ISBN o ISSN
978-981-4417-73-0
DOI
Fecha inicio congreso
26/08/2012
Fecha fin congreso
29/08/2012
Desde la página
106
Hasta la página
111
Título de las actas
Uncertainty Modeling in Knowledge Engineering and Decision Making
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de análisis de decisiones y estadística
  • Departamento: Inteligencia Artificial