Methoden vergleichen

	Shannon-Entropie-Gewichtungsmethode	Multi-Objective Optimisation by Ratio Analysis	Multi-Objective Optimisation by Ratio Analysis plus Full Multiplicative Form
Fachgebiet	Entscheidungsfindung	Entscheidungsfindung	Entscheidungsfindung
Familie	MCDM	MCDM	MCDM
Entstehungsjahr	1948	2006	2010
Urheber	Shannon, C. E.	Brauers, W. K. M., Zavadskas, E. K.	Brauers, W. K. M., Zavadskas, E. K.
Typ	Information-theoretic objective weighting (Shannon entropy)	Ratio system + reference point (vector normalisation)	Dominance aggregation of three sub-rankings (RS + RP + FMF)
Wegweisende Quelle	Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal	Brauers, W. K. M., Zavadskas, E. K. (2006). The MOORA method and its application to privatization in a transition economy. Control and Cybernetics	Brauers, W. K. M., Zavadskas, E. K. (2010). Project management by MULTIMOORA as an instrument for transition economies. Technological and Economic Development of Economy
Aliasnamen	—	—	—
Verwandt	8	8	8
Zusammenfassung	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.	MOORA (Multi-Objective Optimisation by Ratio Analysis) is a ranking multi-criteria decision-making (MCDM) method introduced by Brauers, W. K. M., Zavadskas, E. K. in 2006. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	MULTIMOORA (Multi-Objective Optimisation by Ratio Analysis plus Full Multiplicative Form) is a ranking multi-criteria decision-making (MCDM) method introduced by Brauers, W. K. M., Zavadskas, E. K. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.