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OPSEARCH
Article . 2021 . Peer-reviewed
License: Springer TDM
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Article . 2021
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https://dx.doi.org/10.1007/s12...
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Generation of some methods for solving interval multi-objective linear programming models

descriptionPublicationkeyboard_double_arrow_right Article 09 Mar 2021 English Publisher:Springer Science and Business Media LLCJournal:OPSEARCH, volume 58, pages 1,077-1,115 (issn: 0030-3887, eissn: 0975-0320, Copyright policy )
Authors: Mehdi Allahdadi; Aida Batamiz;

doi: 10.1007/s12597-021-00512-w

Generation of some methods for solving interval multi-objective linear programming models

Abstract

In this paper, we consider interval multi-objective linear programming (IMOLP) models which are very important due to deal with inaccurate data and uncertainties. The aim of this paper is to solve the IMOLP models and obtaining efficient solutions. We first extend Ecker-Kouada method in which the variables are interval, and we introduce interval version of the Ecker-Kouada method which is called I-Ecker-Kouada method. Also, we introduce interval version of Benson’s method (I-Benson) which is not a complicated method. Finally, numerical examples and comparison with other methods are employed to illustrate the advantages of our methods.

Related Organizations
Keywords

interval multi-objective linear programming, Linear programming, efficient solution, Fuzzy and other nonstochastic uncertainty mathematical programming, Benson, uncertainty, Ecker-Kouada, Multi-objective and goal programming

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
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