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Abstract

Many methodologies have been proposed to help the decision-making process, as has been mentioned and illustrated in Chap. 3, where four different models were examined and examples and cases posed and solved, with indication of the pros and cons of each. However, no comparisons have been made between them, and this is the purpose of this chapter. Here the first table condenses information about technical characteristics of each methodology. A second one details main characteristics from the user point of view, and a third table briefly illustrates the successive steps to use each methodology. The chapter also enters in the domain of complex projects, considering size, interrelationships between alternatives and between criteria, thresholds, etc. Finally it goes through into commenting on the advantages of Linear Programming (LP) for solving complex situations. It is understood that there is no one methodology that is better than all others, however it is also believed that LP is probably the best suited to solve complex problems.

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Correspondence to Nolberto Munier .

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© 2011 Springer Science+Business Media B.V.

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Munier, N. (2011). Comparison of Different Models. In: A Strategy for Using Multicriteria Analysis in Decision-Making. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-1512-7_7

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