Salīdzināt metodes

	Z-skaitļu analītiskās hierarhijas process	Tehnika priekšrocību secībai pēc līdzības ar ideālo risinājumu	Z-skaitļu paplašinājums EDAS metodei
Nozare	Lēmumu pieņemšana	Lēmumu pieņemšana	Lēmumu pieņemšana
Saime	MCDM	MCDM	MCDM
Izcelsmes gads	2020	1981	2011
Autors	Mahammad Nuriyev (Khazar University, Baku, Azerbaijan)	Hwang, C. L., Yoon, K.	Zadeh, L. A.
Tips	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)
Pirmavots	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
Citi nosaukumi	—	—	—
Saistītās	8	8	8
Kopsavilkums	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.