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Integrating Cognitive Mapping Analysis into Multi-Criteria Decision Aiding

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cahier_322.pdf (2.293Mb)
Date
2012
Publisher city
Paris
Collection title
Cahier du LAMSADE
Dewey
Recherche opérationnelle
Sujet
Cognitive mapping; Hydrogen technologies; Social acceptability; Problem structuring; Value trees of objectives; Multi-criteria decision aiding
URI
https://basepub.dauphine.fr/handle/123456789/9736
Collections
  • LAMSADE : Publications
Metadata
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Author
Kpoumié, Amidou
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Damart, Sébastien
190306 Normandie Innovation Marché Entreprise Consommation [NIMEC]
Tsoukiàs, Alexis
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Type
Document de travail / Working paper
Item number of pages
29
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.

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