Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Restoring a Radionuclide Contaminated Aquatic Ecosystem: A Group Decision Making Problem with Incomplete Information within MAUT Accounting for Veto
Year:2017
Research Areas
  • Decision theory,
  • Multiple objectives
Information
Abstract
In this paper we consider the evaluation of intervention countermeasures for the restoration of a radionuclide contaminated aquatic ecosystem, simultaneously taking into account several conflicting objectives, like environmental, social and economic impacts. We propose an extension of the additive multi-attribute utility model to incorporate the concept of veto to deal with this group decision-making problem. Moreover, we consider what is known as decision-making with partial, imprecise or incomplete information, which accounts for uncertainty about the alternative performances and imprecision concerning DM preferences by means of intervals or ordinal information. Veto values for the most important DMs are used to define veto ranges, whereas veto values corresponding to the other less important DMs are partially taken into account, leading to the construction of adjust ranges. We then build the veto and adjust functions into the additive model, and a dominance matrix accounting for incomplete information is computed. A dominance measuring method is then used to derive a ranking of alternatives for each DM, which are then aggregated taking into account their relative importance.
International
Si
JCR
Si
Title
Group Decision And Negotiation
ISBN
0926-2644
Impact factor JCR
1,688
Impact info
Volume
26
Journal number
4
From page
653
To page
675
Month
SIN MES
Ranking
Participants
  • Autor: Antonio Jimenez Martin (UPM)
  • Autor: Eduardo Florentino Gallego Diaz (UPM)
  • Autor: Alfonso Mateos Caballero (UPM)
  • Autor: Juan Antonio Fernández del Pozo (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de análisis de decisiones y estadística
  • Grupo de Investigación: Ciencia y Tecnología de sistemas avanzados de fisión nuclear
  • Departamento: Inteligencia Artificial
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Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
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