Compara mètodes

	Procés Analític Jeràrquic de Nombre Z	Tècnica per a l'Ordre de Preferència per Similitud a la Solució Ideal	Extensió Z-Number de EDAS
Camp	Presa de decisions	Presa de decisions	Presa de decisions
Família	MCDM	MCDM	MCDM
Any d'origen	2020	1981	2011
Autor original	Mahammad Nuriyev (Khazar University, Baku, Azerbaijan)	Hwang, C. L., Yoon, K.	Zadeh, L. A.
Tipus	Hierarchical pairwise comparison weighting under Z-number uncertainty	Distance-based (compromise)	Z-Number outranking/ranking — Z-Number (Z = (A, B): restriction A, reliability B; both fuzzy)
Font seminal	Nuriyev, M. (2020). Z-numbers Based Hybrid MCDM Approach for Energy Resources Ranking and Selection. International Journal of Energy Economics and Policy	Hwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications — A State-of-the-Art Survey. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag	Zadeh, L. A. (2011). A note on Z-numbers. Information Sciences
Àlies	—	—	—
Relacionats	8	8	8
Resum	Z-AHP (Z-Number Analytic Hierarchy Process) is a weighting multi-criteria decision-making (MCDM) method introduced by Mahammad Nuriyev (Khazar University, Baku, Azerbaijan) in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Hwang, C. L., Yoon, K. in 1981. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	Z-EDAS (Z-Number extension of EDAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Zadeh, L. A. in 2011. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.