Uncertainty and method choice in discrete multiobjective programming problems
The authors examine discrete multiobjective programming problems under uncertain knowledge of the payoff values. Two types of distributions are considered: triangular and uniform probability density functions. A discrete forestry management problem is used as a case study to illustrate the methodology and the dependence of the best alternative on the type and weights of the distances selected and on the type of distributions modelling the uncertainty of the objective function values. Finally, numerical results are compared and analyzed.
scientific article; zbMATH DE number 761795
scientific article