Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
A MCDM Ranking Method Based on a Dominance Measure: Computational Study
Year:2009
Research Areas
  • Operative research,
  • Statistics
Information
Abstract
The additive multi-attribute utility model is widely used in MCDM. However, many times it is not easy to elicit precise values for the scaling weights.Several decision rules have been proposed to select an alternative under these circumstances since weaker information is required, such as ordinal information.We propose a new ap- proach based on an intensity of dominance measure and compare it with other existing approaches using Monte-Carlo simulation.The results show that the new approach yields more accurate results in terms of the best alternative and the overall ranking.
International
Si
Congress
23rd European Conference on Operational Research (EURO XXIII)
960
Place
Bonn (Alemania)
Reviewers
Si
ISBN/ISSN
978-3-642-04427-4
Start Date
05/07/2009
End Date
08/07/2009
From page
102
To page
103
Book of abstracts
Participants
  • Autor: Alfonso Mateos Caballero (UPM)
  • Autor: Antonio Jimenez Martin (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de análisis de decisiones y estadística
  • Departamento: Inteligencia Artificial
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