Methoden vergleichen

	Kombinatorische Distanzbasierte Bewertung	Intuitionistische Fuzzy TOPSIS	Multi-Attributive Border Approximation area Comparison
Fachgebiet	Entscheidungsfindung	Entscheidungsfindung	Entscheidungsfindung
Familie	MCDM	MCDM	MCDM
Entstehungsjahr	2016	1986	2015
Urheber	Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J.	Atanassov, K. T.	Pamučar, D., Ćirović, G.
Typ	Distance from anti-ideal (Euclidean + Taxicab)	Distance-based ranking under Intuitionistic Fuzzy uncertainty	Border approximation area (distance from BAA)
Wegweisende Quelle	Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. (2016). A new combinative distance-based assessment (CODAS) method for multi-criteria decision-making. Economic Computation and Economic Cybernetics Studies and Research	Atanassov, K. T. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems	Pamučar, D., Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications
Aliasnamen	—	—	—
Verwandt	8	5	8
Zusammenfassung	CODAS (Combinative Distance-Based Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	IF-TOPSIS (Intuitionistic Fuzzy TOPSIS) is a ranking 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.	MABAC (Multi-Attributive Border Approximation area Comparison) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamučar, D., Ćirović, G. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.