1990
DOI: 10.1051/ro/1990240403311
|View full text |Cite
|
Sign up to set email alerts
|

Méthode d'estimation d'utilités additives concaves en programmation linéaire multiobjectifs

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
2
0
2

Year Published

1992
1992
2010
2010

Publication Types

Select...
4

Relationship

1
3

Authors

Journals

citations
Cited by 4 publications
(4 citation statements)
references
References 7 publications
0
2
0
2
Order By: Relevance
“…Then a concave additive utility function, which is as consistent as possible with the DM's ranking, is assessed by a modified version of the UTA ordinal regression algorithm (cf. Jacquet-Lagr~ze and Siskos [13] and Despotis and Yannacopoulos [7]). The system plots the curves of the assessed marginal utilities and then analyses the inconsistencies that may appear between the DM's preference ranking and the ranking rendered by the utility model on a utility-ranking regression curve.…”
Section: Stage Hmentioning
confidence: 97%
“…Then a concave additive utility function, which is as consistent as possible with the DM's ranking, is assessed by a modified version of the UTA ordinal regression algorithm (cf. Jacquet-Lagr~ze and Siskos [13] and Despotis and Yannacopoulos [7]). The system plots the curves of the assessed marginal utilities and then analyses the inconsistencies that may appear between the DM's preference ranking and the ranking rendered by the utility model on a utility-ranking regression curve.…”
Section: Stage Hmentioning
confidence: 97%
“…On pourrait également ajouter une contrainte de concavité ou nonconvexité, comme le proposent Despotis et Yannacopoulos [10], Avec une fonction d'utilité additive, il suffirait d'imposer cette condition sur les utilités partielles. La forme imposée à la fonction serait, sans doute, plus appropriée pour la recherche d'un maximum global.…”
Section: A Modélisation Des Préférencesunclassified
“…Nous pensons toutefois que cette hypothèse ne s'impose pas nécessairement et si les préférences exprimées par le décideur ne s'y conforment pas, les résultats obtenus ne pourront être satisfaisants. C'est sans doute pour cette raison que Despotis et Yannacopoulos [10] n'ont pas obtenu des résultats très concluants. Il ne semble donc pas opportun d'ajouter cette contrainte a priori.…”
Section: A Modélisation Des Préférencesunclassified
“…Along the same line of thought, we present in this paper our independent work on a general modelling approach with concrete formulations for dealing with nonlinear virtual outputs and/or inputs in DEA (c.f. Jacquet-Lagréze andSiskos, 1982 andDespotis andYannacopoulos, 1990 for similar conceptualizations of nonlinear value functions in multiple criteria decision analysis). Our formulations lead to a transformation of the original data set to an augmented data set, on which ordinary DEA models can then be applied to assess the efficiency of the units.…”
Section: Introductionmentioning
confidence: 99%