Uncertainty and method choice in discrete multiobjective programming problems
type: Item
instance of: scholarly article
title: Uncertainty and method choice in discrete multiobjective programming problems
zbMATH Open document ID: 0832.65054
DOI: 10.1016/0096-3003(94)00145-T
author: Abdollah Eskandari
author: P. Ffolliott
author: F. Szidarovszky
published in: Applied Mathematics and Computation
publication date: 1995-07-05T00:00:00Z
review text: 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.
Mathematics Subject Classification ID: 65K05
Mathematics Subject Classification ID: 90C29
zbMATH DE Number: 761795
zbMATH Keywords: ideal point
zbMATH Keywords: nadir point
zbMATH Keywords: discrete multiobjective programming
zbMATH Keywords: discrete forestry management problem
zbMATH Keywords: uncertainty
zbMATH Keywords: numerical results
reviewed by: Dorel I. Duca
MaRDI profile type: Publication
cites work: Q3707760
cites work: Q4026480
cites work: Q4724391
cites work: Q3311717
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description: scientific article; zbMATH DE number 761795