Observatorio de I+D+i UPM

Memorias de investigación
Other publications:
A Group Decision-Making Methodology with Incomplete Individual Beliefs Applied to e-Democracy
Year:2008
Research Areas
  • Operative research,
  • Statistics
Information
Abstract
We consider the situation where there are several alternatives for investing a quantity of money to achieve a set of objectives. The choice of which alternative to apply depends on how citizens and political representatives perceive that such objectives should be achieved. All citizens with the right to vote can express their preferences in the decision-making process. These preferences may be incomplete. Political representatives represent the citizens who have not taken part in the decision-making process. The weight corresponding to political representatives depends on the number of citizens that have intervened in the decision-making process. The methodology we propose needs the participants to specify for each alternative how they rate the different attributes and the relative importance of attributes. On the basis of this information an expected utility interval is output for each alternative. To do this, an evidential reasoning approach is applied. This approach improves the insightfulness and rationality of the decisionmaking process using a belief decision matrix for problem modeling and the Dempster-Shafer theory of evidence for attribute aggregation. Finally, we propose using the distances of each expected utility interval from the maximum and the minimum utilities to rank the alternative set. The basic idea is that an alternative is ranked first if its distance to the maximum utility is the smallest, and its distance to the minimum utility is the greatest. If only one of these conditions is satisfied, the distance ratio is then used.
International
Si
Entity
Place
Pages
61-70
Reference/URL
ISBN 978-989-95055-1-3
Publication type
Full papers of the Group Decision and Negotiation Conference 2008, J. Clímaco, G. Kersten y J. P. Costa (eds.)
Participants
  • Autor: Alfonso Mateos Caballero (UPM)
  • Autor: Antonio Jimenez Martin (UPM)
  • Autor: Sixto Rios Insua (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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