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PROMETHEE-GAIA×Technique pour le classement par similarité à la solution idéale×
DomainePrise de décisionPrise de décision
FamilleMCDMMCDM
Année d'origine19861981
Auteur d'origineJean-Pierre Brans and Philippe VinckeHwang, C. L., Yoon, K.
TypePairwise preference-based ranking with visual analysisDistance-based (compromise)
Source fondatriceBrans, J. P., & Vincke, P. (1985). A preference ranking organization method: The PROMETHEE method for MCDM. Management Science, 31(6), 647-656. link ↗Hwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications — A State-of-the-Art Survey. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag DOI ↗
AliasPROMETHEE-GAIA, PROMETHEE with GAIA
Apparentées48
RésuméPROMETHEE-GAIA combines two complementary tools: PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluations) for ranking alternatives through pairwise preference modeling, and GAIA (Geometric Analysis for Interactive Aid) for visual representation and sensitivity analysis. While PROMETHEE produces a ranking, GAIA displays the relative importance of criteria and the position of alternatives in a 2D plane, facilitating stakeholder understanding and decision adjustment.TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Hwang, C. L., Yoon, K. in 1981. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
ScholarGateJeu de données
  1. v1
  2. 2 Sources
  3. PUBLISHED
  1. v1
  2. 1 Sources
  3. PUBLISHED

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ScholarGateComparer des méthodes: PROMETHEE-GAIA · TOPSIS. Consulté le 2026-06-19 sur https://scholargate.app/fr/compare