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Integrating Cognitive Mapping Analysis into Multi-Criteria Decision Aiding

Kpoumié, Amidou; Damart, Sébastien; Tsoukiàs, Alexis (2012), Integrating Cognitive Mapping Analysis into Multi-Criteria Decision Aiding. https://basepub.dauphine.fr/handle/123456789/9736

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cahier_322.pdf (2.293Mb)
Type
Document de travail / Working paper
Date
2012
Series title
Cahier du LAMSADE
Published in
Paris
Pages
29
Metadata
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Author(s)
Kpoumié, Amidou
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Damart, Sébastien
Normandie Innovation Marché Entreprise Consommation [NIMEC]
Tsoukiàs, Alexis cc
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Abstract (EN)
Multi-criteria decision aiding (MCDA) is a process implying two distinctiveactors (the client and the analyst) which aims at providing transparent andcoherent support for complex decision situations, taking into account valuesof decision makers involved in a speci c decision context. The theoreticalframework of MCDA traditionally addresses problems involving a singledecision maker. However, MCDA ought to investigate the case where thedecision maker is made up of groups of individuals with con icting interests.In contrast, cognitive mapping (CM) is frequently used in order to capturethe values in a group of individuals and to reduce the antagonism betweensuch values. Its ability to capture multiple values and reduce their con ictingaspects provides a rationale for decision problem analysis with multiplestakeholders. Nevertheless, capturing values by CM is not always intendedfor a subsequent multi-criteria analysis.This paper explores the integration of both techniques combining theirrespective strengths as well as their application in assessment of hydrogentechnologies scenarios in terms of their perception and social acceptabilityby the general public.
Subjects / Keywords
Cognitive mapping; Hydrogen technologies; Social acceptability; Problem structuring; Value trees of objectives; Multi-criteria decision aiding

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