Observatorio de I+D+i UPM

Memorias de investigación
Book chapters:
A Trapezoidal Fuzzy Numbers Based Approach for Aggregating Group Preferences and Ranking Decision Alternatives in MCDM
Year:2009
Research Areas
  • Operative research,
  • Statistics
Information
Abstract
In this paper we introduce an approach for solving multiattribute decision-making problems in which there are several decision-makers who individually and independently elicit their preferences. The preferences of each decision-maker are imprecise and represented by an imprecise additive multi- attribute utility function. We allow for incomplete information on the component utility functions and weights assessment, which leads to classes of utility functions and weight intervals, respectively. On the basis of this information, we introduce an approach for calculating the decision-maker group preferences using trapezoidal fuzzy numbers. The method consists of assigning trapezoidal fuzzy numbers to weights and component utilities and then, using an additive utility function to perform the evaluation process. The alternatives are then ranked by the trapezoidal fuzzy numbers representing them and the distances to some preset targets, i.e. the crisp maximum and minimum.
International
Si
Book Edition
0
Book Publishing
Springer
ISBN
978-3-642-01019-4
Series
Lecture Notes in Computer Science
Book title
Evolutionary Multi-Criterion Optimization
From page
365
To page
379
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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