Comparar métodos

	Proceso Analítico Jerárquico de Números Z	Técnica para la Ordenación de Preferencias por Similitud a la Solución Ideal	Extensión Z-Number de EDAS
Campo	Toma de decisiones	Toma de decisiones	Toma de decisiones
Familia	MCDM	MCDM	MCDM
Año de origen	2020	1981	2011
Autor original	Mahammad Nuriyev (Khazar University, Baku, Azerbaijan)	Hwang, C. L., Yoon, K.	Zadeh, L. A.
Tipo	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)
Fuente 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
Alias	—	—	—
Relacionados	8	8	8
Resumen	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.