1987
DOI: 10.1016/0377-2217(87)90044-0
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Molp with an interactive assessment of a piecewise linear utility function

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Cited by 63 publications
(10 citation statements)
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“…The proposed interactive procedure combines the idea of Jacquet- Lagrèze et al (1987) consisting in optimizing a particular additive value function to focus on a "new" solution with the interactive methodology proposed by . The next section describes the proposed interactive procedure.…”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…The proposed interactive procedure combines the idea of Jacquet- Lagrèze et al (1987) consisting in optimizing a particular additive value function to focus on a "new" solution with the interactive methodology proposed by . The next section describes the proposed interactive procedure.…”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…Cette incohérence entre F(c) et i(c) 9 déjà commentée par Jacquet-Lagrèze et Siskos [5], est due au fait que x est non seulement fonction de F mais surtout de la manière avec laquelle les points correspondant aux actions mal estimées sont dispersés vol. 24, n° 4,1990 Figure 5. -Résultats obtenus avec les données du tableau IX.…”
Section: Résultats Et Discussionunclassified
“…Une classe importante de ces méthodes utilise ces fonctions d'utilité d'une manière interactive dans le but de générer un ensemble de solutions efficaces d'utilité croissante [2,11,13] ou même d'estimer une solution unique d'utilité maximale [4], En effet, dans ces méthodes le décideur doit répondre à plusieurs types de questions (/. e. taux de substitution explicite, classement d'alternatives, .…”
Section: G N (X))unclassified
“…The proposed method finds its roots in the UTA method (Jacquet-Lagrèze and Siskos, 1982;Jacquet-Lagrèze et al, 1987) for ordinal regression and which uses both the information given by expert judgements, in a form of a ranking, on a reduced set of pairs of concepts to be aligned, as well as the evaluation of similarities between the involved concepts, to infer the parameters of a ranking model that it is as consistent as possible with the expert judgements.…”
Section: Proposed Approachmentioning
confidence: 99%