Annals of Operations Research

, Volume 51, Issue 1, pp 45–59

PROMISE: A DSS for multiple objective stochastic linear programming problems


  • Raymond Nadeau
    • Sciences de l'administrationUniversité Laval
  • Bruno Urli
    • Université du Québec à Rimouski
  • Laszlo N. Kiss
    • Sciences de l'administrationUniversité Laval
Multicriteria Decision Making Support

DOI: 10.1007/BF02032080

Cite this article as:
Nadeau, R., Urli, B. & Kiss, L.N. Ann Oper Res (1994) 51: 45. doi:10.1007/BF02032080


Most of the multiple objective linear programming (MOLP) methods which have been proposed in the last fifteen years suppose deterministic contexts, but because many real problems imply uncertainty, some methods have been recently developed to deal with MOLP problems in stochastic contexts. In order to help the decision maker (DM) who is placed before such stochastic MOLP problems, we have built a Decision Support System called PROMISE. On the one hand, our DSS enables the DM to identify many current stochastic contexts: risky situations and also situations of partial uncertainty. On the other hand, according to the nature of the uncertainty, our DSS enables the DM to choose the most appropriate interactive stochastic MOLP method among the available methods, if such a method exists, and to solve his problem via the chosen method.


Multiple objectivelinear programmingstochasticdecision support system

Copyright information

© J.C. Baltzer AG, Science Publishers 1994