Methoden vergleichen

	LINEARE SUMMENNORMALISIERUNG	Shannon-Entropie-Gewichtungsmethode	Multi-Objective Optimisation by Ratio Analysis
Fachgebiet	Entscheidungsfindung	Entscheidungsfindung	Entscheidungsfindung
Familie	MCDM	MCDM	MCDM
Entstehungsjahr	1994	1948	2006
Urheber	Zavadskas, E. K., Turskis, Z., Peldschus, F., Kaklauskas, A.	Shannon, C. E.	Brauers, W. K. M., Zavadskas, E. K.
Typ	Normalization (linear-sum, stochastic)	Information-theoretic objective weighting (Shannon entropy)	Ratio system + reference point (vector normalisation)
Wegweisende Quelle	Zavadskas, E. K., Turskis, Z., Peldschus, F., Kaklauskas, A. (1994). Competitive comparison of contractors' offers in construction. Technika, Vilnius	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
Aliasnamen	—	—	—
Verwandt	3	8	8
Zusammenfassung	LINEAR-SUM-NORMALIZATION (Linear Sum Normalization — column-sum division (probability / stochastic normalisation)) is a normalization multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Turskis, Z., Peldschus, F., Kaklauskas, A. in 1994. 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.	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.