Salīdzināt metodes

	Metode labāko un sliktāko vērtību Z-skaitļiem	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	2018	1981	2011
Autors	Aboutorab, Saberi, Asadabadi, Hussain, Chang (UTS Sydney, Australia)	Hwang, C. L., Yoon, K.	Zadeh, L. A.
Tips	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	Aboutorab, H., Saberi, M., Asadabadi, M.R., Hussain, O., Chang, E. (2018). ZBWM: The Z-number extension of Best Worst Method and its application for supplier development. Expert Systems with Applications	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-BWM (Z-Number Best-Worst Method) is a weighting multi-criteria decision-making (MCDM) method introduced by Aboutorab, Saberi, Asadabadi, Hussain, Chang (UTS Sydney, Australia) in 2018. 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.