Observatorio de I+D+i UPM

Memorias de investigación
Book chapters:
Ranking Methods Based on Dominance Measures Accounting for Imprecision
Year:2009
Research Areas
  • Operative research,
  • Statistics
Information
Abstract
he additive multi-attribute utility model is widely used in multicrite- ria decision-making. However, it is often not easy to elicit precise values for the scaling weights representing the relative importance of criteria. In a group deci- sion-making context a very widespread approach is to derive incomplete infor- mation, such as weight intervals or ordinal information rather than precise weights from a negotiation process. Different approaches have been proposed to deal with such situations. We advance two approaches based on dominance measures accounting for imprecise weights and compare them with other exist- ing approaches using Monte Carlo simulation.
International
Si
Book Edition
0
Book Publishing
Springer
ISBN
978-3-642-04427-4
Series
Lecture Notes in Artificial Intelligence
Book title
Algorithmic Decision Theory
From page
328
To page
339
Participants
  • Participante: José F. Blanco
  • 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
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
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