Methoden vergleichen

	Intuitionistische Fuzzy PROMETHEE	Analytic Hierarchy Process	Best-Worst Method	IF-ENTROPY
Fachgebiet	Entscheidungsfindung	Entscheidungsfindung	Entscheidungsfindung	Entscheidungsfindung
Familie	MCDM	MCDM	MCDM	MCDM
Entstehungsjahr	1986	1980	2015	1986
Urheber	Atanassov, K. T.	Saaty, T. L.	Rezaei, J.	Atanassov, K. T.
Typ	Pairwise outranking under Intuitionistic Fuzzy uncertainty	Pairwise comparison (eigenvalue)	Pairwise comparison (best-to-others + others-to-worst vectors), LP	Information-theoretic objective weighting under Intuitionistic Fuzzy uncertainty (IF entropy → divergence → simplex-normalised crisp weights)
Wegweisende Quelle	Atanassov, K. T. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems	Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713	Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega	Atanassov, K. T. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems
Aliasnamen	—	—	—	—
Verwandt	4	8	8	8
Zusammenfassung	IF-PROMETHEE (Intuitionistic Fuzzy PROMETHEE) is a outranking multi-criteria decision-making (MCDM) method introduced by Atanassov, K. T. in 1986. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	AHP (Analytic Hierarchy Process) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Saaty, T. L. in 1980. 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.	IF-ENTROPY (Intuitionistic Fuzzy Entropy Weight Method (Vlachos-Sergiadis 2007 entropy measure as applied by Hung-Chen 2010)) is a weight objective multi-criteria decision-making (MCDM) method introduced by Atanassov, K. T. in 1986. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.