Memorias de investigación
Artículos en revistas:
Dominance Measuring Method Performance under Incomplete Information about Weights.
Año:2012
Áreas de investigación
  • Ingenierías
Datos
Descripción
In multi-attribute utility theory, it is often not easy to elicit precise values for the scaling weights representing the relative importance of criteria. A very widespread approach is to gather incomplete information. A recent approach for dealing with such situations is to use information about each alternative?s intensity of dominance, known as dominance measuring methods. Different dominancemeasuring methods have been proposed, and simulation studies have been carried out to compare these methods with each other and with other approaches but only when ordinal information about weights is available. In this paper, we useMonte Carlo simulation techniques to analyse the performance of and adapt such methods to deal with weight intervals, weights fitting independent normal probability distributions orweights represented by fuzzy numbers.Moreover, dominance measuringmethod performance is also compared with a widely used methodology dealing with incomplete information on weights, the stochastic multicriteria acceptability analysis (SMAA). SMAA is based on exploring the weight space to describe the evaluations that would make each alternative the preferred one.
Internacional
Si
JCR del ISI
No
Título de la revista
JOURNAL OF MULTI-CRITERIA DECISION ANALYSIS
ISSN
1099-1360
Factor de impacto JCR
Información de impacto
Volumen
19
DOI
10.1002/mcda.1467
Número de revista
Desde la página
129
Hasta la página
142
Mes
SIN MES
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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