Multiple objective linear programming models with interval coefficients – an illustrated overview

In most real-world situations, the coefficients of decision support models are not exactly known. In this context, it is convenient to consider an extension of traditional mathematical programming models incorporating their intrinsic uncertainty, without assuming the exactness of the model coefficie...

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Bibliographic Details
Published in:	European journal of operational research Vol. 181; no. 3; pp. 1434 - 1463
Main Authors:	Oliveira, Carla, Antunes, Carlos Henggeler
Format:	Journal Article Conference Proceeding
Language:	English
Published:	Amsterdam Elsevier B.V 16.09.2007 Elsevier Elsevier Sequoia S.A
Series:	European Journal of Operational Research
Subjects:	Applied sciences Decision theory. Utility theory Exact sciences and technology Interval arithmetic Interval programming Linear programming Mathematical programming Multiple objective linear programming Operational research and scientific management Operational research. Management science Optimizing approach Satisficing approach Studies Uncertainty Interval programming Satisficing approach Multiple objective linear programming Optimizing approach Multimodel control Decision support system Multiobjective programming Linear programming Modeling Linear model Optimization Uncertain system Objective function Mathematical programming
ISSN:	0377-2217, 1872-6860
Online Access:	Get full text
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