• DocumentCode
    2547116
  • Title

    Stability analysis of multiple objective linear programming models to the introduction of new decision variables

  • Author

    Borges, Ana Rosa ; Antunes, Carlos Henggeler

  • Author_Institution
    Coimbra Polytech. Inst., Coimbra
  • fYear
    2007
  • fDate
    7-10 Oct. 2007
  • Firstpage
    559
  • Lastpage
    564
  • Abstract
    Interactive techniques encourage the decision maker to exploit both the problem and its preference structure in mathematical programming models in which multiple objective functions are explicitly considered. In this context a key issue is the assessment of solution stability regarding model changes. In this paper we propose an interactive approach aimed at assessing the stability of efficient solutions to multiple objective linear programming problems with respect to the expansion of the decision space through the introduction of new decision variables.
  • Keywords
    decision support systems; interactive systems; linear programming; stability; interactive techniques; mathematical programming models; multiple objective linear programming models; new decision variables; stability analysis; Context modeling; Delta modulation; Functional programming; Linear programming; Mathematical model; Mathematical programming; Research and development; Sensitivity analysis; Stability analysis; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    978-1-4244-0990-7
  • Electronic_ISBN
    978-1-4244-0991-4
  • Type

    conf

  • DOI
    10.1109/ICSMC.2007.4414033
  • Filename
    4414033