Implementation of maximin and maximal solutions for linear programming problems under uncertainty

Nathan Huntley, Rolando Quiñones, Keivan Shariatmadar, Erik Quaeghebeur, Gert De Cooman, Etienne Kerre

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

We present a software implementation of the methods for solving linear programming problems under uncertainty from previous work. Uncertainties about constraint parameters can be expressed as intervals or trapezoidal possibility distributions. The software computes the solutions for the optimality criteria maximin and maximality. For maximality with possibility distributions, only an approximate solution is obtained.

Original languageEnglish
Title of host publicationWorld Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
PublisherWorld Scientific
Pages465-470
Number of pages6
ISBN (Print)9789814417730
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012 - Istanbul, Turkey
Duration: 26 Aug 201229 Aug 2012

Publication series

NameWorld Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
Volume7

Conference

Conference10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012
CountryTurkey
CityIstanbul
Period26/08/1229/08/12

Fingerprint Dive into the research topics of 'Implementation of maximin and maximal solutions for linear programming problems under uncertainty'. Together they form a unique fingerprint.

Cite this