Multiple objective linear programming models with interval coefficients – an illustrated overview |
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Authors: | Carla Oliveira Carlos Henggeler Antunes |
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Institution: | 1. INESC Coimbra, Rua Antero de Quental 199, Coimbra, Portugal;2. Dep. Engenharia Electrotécnica e de Computadores, Universidade de Coimbra, Polo II, 3030-290 Coimbra, Portugal |
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Abstract: | 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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Keywords: | Multiple objective linear programming Interval programming Satisficing approach Optimizing approach |
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