Methoden vergleichen

	Wahl basierend auf relativen Wertedistanzen	Best-Worst Method	Shannon-Entropie-Gewichtungsmethode
Fachgebiet	Entscheidungsfindung	Entscheidungsfindung	Entscheidungsfindung
Familie	MCDM	MCDM	MCDM
Entstehungsjahr	2015	2015	1948
Urheber	Shyur, H. J., Yin, L., Shih, H. S., Cheng, C. B.	Rezaei, J.	Shannon, C. E.
Typ	Prospect-theory value function with reference-point separation	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Information-theoretic objective weighting (Shannon entropy)
Wegweisende Quelle	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
Aliasnamen	—	—	—
Verwandt	4	8	8
Zusammenfassung	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.