Methoden vergleichen

	Komplexe Proportionale Bewertung	Bewertung basierend auf der Distanz zur Durchschnittslösung	Logarithmus-Methodik der additiven Gewichtung
Fachgebiet	Entscheidungsfindung	Entscheidungsfindung	Entscheidungsfindung
Familie	MCDM	MCDM	MCDM
Entstehungsjahr	1996	2015	2021
Urheber	Zavadskas, E. K., Kaklauskas, A.	Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z.	Pamučar, D., Žižović, M., Biswas, S., Božanić, D.
Typ	Proportional assessment (benefit/cost split)	Distance from average solution	Logarithm-based additive weighting
Wegweisende Quelle	Zavadskas, E. K., Kaklauskas, A. (1996). Determination of an Efficient Contractor by Using the New Method of Multicriteria Assessment. International Symposium for The Organization and Management of Construction. Shaping Theory and Practice. Vol. 2: Managing the Construction Project and Managing Risk. CIB W 65	Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica	Pamučar, D., Žižović, M., Biswas, S., Božanić, D. (2021). A new logarithm methodology of additive weights (LMAW) for multi-criteria decision-making: Application in logistics. Facta Universitatis, Series: Mechanical Engineering
Aliasnamen	—	—	—
Verwandt	8	8	8
Zusammenfassung	COPRAS (Complex Proportional Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Kaklauskas, A. in 1996. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	EDAS (Evaluation Based on Distance from Average Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	LMAW (Logarithm Methodology of Additive Weights) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamučar, D., Žižović, M., Biswas, S., Božanić, D. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.