1. bookVolumen 28 (2022): Heft 3 (June 2022)
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eISSN
2451-3113
Erstveröffentlichung
15 Dec 2015
Erscheinungsweise
3 Hefte pro Jahr
Sprachen
Englisch
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Linear Programming with Interval Coefficients

Online veröffentlicht: 06 Jul 2022
Volumen & Heft: Volumen 28 (2022) - Heft 3 (June 2022)
Seitenbereich: 6 - 11
Konferenz Details
License
Format
Konferenz
eISSN
2451-3113
Erstveröffentlichung
15 Dec 2015
Erscheinungsweise
3 Hefte pro Jahr
Sprachen
Englisch
Abstract

Many operational research optimization models, such as linear programming, assume that the data used to build a model is accurate, but in the real world most of these assumptions are only approximately true. In linear programming models, uncertainty is associated with the model coefficients during the formulation stage. A small number of papers discuss these models of linear programming with interval coefficients (LPIC). Using the method presented in paper [1], capable of solving linear programming problems with numerical intervals as intervals, we give in this paper a practical example, to demonstrate the use and the practicality of interval coefficients in linear programming models.

[1] Chinneck J. W., Ramadan K. Linear programming with interval coefficients, Journal of Operational Research Society, 2000; Volume 51: 209-220.10.1057/palgrave.jors.2600891 Search in Google Scholar

[2] Ramadan K. Linear programming with interval coefficients, Dissertation paper, Carleton University, 1996. Search in Google Scholar

[3] Shaocheng T. Interval number and fuzzy number linear programming, Fuzzy Sets and Systems, 1994; Volume 66: 301-306.10.1016/0165-0114(94)90097-3 Search in Google Scholar

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