Comparer des méthodes

	Élection basée sur les distances de valeur relative	Méthode Meilleur-Pire	Méthode de pondération par entropie de Shannon
Domaine	Prise de décision	Prise de décision	Prise de décision
Famille	MCDM	MCDM	MCDM
Année d'origine	2015	2015	1948
Auteur d'origine	Shyur, H. J., Yin, L., Shih, H. S., Cheng, C. B.	Rezaei, J.	Shannon, C. E.
Type	Prospect-theory value function with reference-point separation	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Information-theoretic objective weighting (Shannon entropy)
Source fondatrice	Shyur, H. J., Yin, L., Shih, H. S., Cheng, C. B. (2015). A multiple criteria decision making method based on relative value distances. Foundations of Computing and Decision Sciences	Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega	Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal
Alias	—	—	—
Apparentées	4	8	8
Résumé	ERVD (Election based on Relative Value Distances) is a ranking multi-criteria decision-making (MCDM) method introduced by Shyur, H. J., Yin, L., Shih, H. S., Cheng, C. B. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	BWM (Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Rezaei, J. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	ENTROPY (Shannon Entropy Weighting Method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Shannon, C. E. in 1948. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.