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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| Vydáno v: | European journal of operational research Ročník 181; číslo 3; s. 1434 - 1463 |
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| Hlavní autoři: | , |
| Médium: | Journal Article Konferenční příspěvek |
| Jazyk: | angličtina |
| Vydáno: |
Amsterdam
Elsevier B.V
16.09.2007
Elsevier Elsevier Sequoia S.A |
| Edice: | European Journal of Operational Research |
| Témata: | |
| ISSN: | 0377-2217, 1872-6860 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | 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 coefficients. Interval programming is one of the tools to tackle uncertainty in mathematical programming models. Moreover, most real-world problems inherently impose the need to consider multiple, conflicting and incommensurate objective functions. This paper provides an illustrated overview of the state of the art of Interval Programming in the context of multiple objective linear programming models. |
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| Bibliografie: | SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 |
| ISSN: | 0377-2217 1872-6860 |
| DOI: | 10.1016/j.ejor.2005.12.042 |