Issue: 2019/Vol.29/No.3, Pages 5-16

DECISION MAKER'S PREFERENCES MODELING FOR MULTIPLE OBJECTIVE STOCHASTIC LINEAR PROGRAMMING PROBLEMS

Fatima Bellahcene

Full paper (PDF)    RePEC

Cite as: F. Bellahcene. Decision maker's preferences modeling for multiple objective stochastic linear programming problems. Operations Research and Decisions 2019: 29(3), 5-16. DOI 10.37190/ord190301

Abstract
A method has been suggested which solves a multiobjective stochastic linear programming problem with normal multivariate distributions in accordance with the minimum-risk criterion. The approach to the problem uses the concept of satisfaction functions for the explicit integration of the preferences of the decision-maker for different achievement level of each objective. Thereafter, a nonlinear deterministic equivalent problem is formulated and solved by the bisection method. Numerical examples with two and three objectives are given for illustration. The solutions obtained by this method are compared with the solutions given by other approaches.

Keywords: multiobjective programming, stochastic programming, nonlinear programming, satisfaction function

Received: 25 March 2019    Accepted: 23 November 2019