Multiobjective Optimization Approach for Preference-Disaggregation Analysis Under Effects of Intensity

  • Nelson Rangel-Valdez
  • Eduardo Fernández
  • Laura Cruz-Reyes
  • Claudia Gómez Santillán
  • Rodolfo Iván Hernández-López
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9414)


A widely used approach in Multicriteria Decision Aid is the Preference Disaggregation Analysis (or PDA). This is an indirect approach used to characterize the decision process of a Decision Maker (or DM). By means of a limited set of examples (called a reference set) provided by the DM, the PDA approach estimates the parameter values of a preference model that is characterized by the DM. This paper proposes a new optimization model for PDA, and its solution through an evolutionary algorithm. The novel features in the definition of the model include the use of the effect of the intensity (i.e. the variations among the criteria values used to evaluate decision alternatives), and new ways to combine the number of consistencies and inconsistencies with respect to the reference set. Through an experimental design performed to evaluate the fitness of the new model, it was corroborated its effectiveness to fit the DM preferences, and also it showed comparable results with that provided by an state-of-the-art strategy.


Decision Maker Optimization Model Pareto Front Strict Preference Fuzzy Preference Relation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



This research was partially funded by the following projects: the project 3058-Optimización de Problemas Complejos of the Programa de Cátedras CONACyT.


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Nelson Rangel-Valdez
    • 1
  • Eduardo Fernández
    • 2
  • Laura Cruz-Reyes
    • 1
  • Claudia Gómez Santillán
    • 1
  • Rodolfo Iván Hernández-López
    • 1
  1. 1.Postgraduate and Research DivisionNational Mexican Institute of Technology/Madero Institute of TechnologyTamaulipasMexico
  2. 2.Faculty of Civil EngineeringAutonomous University of SinaloaSinaloaMexico

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