Salīdzināt metodes

	Vienkārša preferenču agregācija, kas izteikta ar ordinālu vektoru	Tehnika priekšrocību secībai pēc līdzības ar ideālo risinājumu	Daudzkriteriālu optimizācija un kompromisa risinājums
Nozare	Lēmumu pieņemšana	Lēmumu pieņemšana	Lēmumu pieņemšana
Saime	MCDM	MCDM	MCDM
Izcelsmes gads	2020	1981	1998
Autors	Gomes, L. F. A. M. de Mello, J. C. C. B. S. Costa, H. G.	Hwang, C. L., Yoon, K.	Opricovic, S.
Tips	Ordinal pairwise comparisons from multiple DMs aggregated into priority weights	Distance-based (compromise)	Compromise / aggregation-function based
Pirmavots	Gomes, L. F. A. M., de Mello, J. C. C. B. S., Costa, H. G. (2020). SAPEVO-M: a group ranking approach based on preference vectors. Pesquisa Operacional	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	Opricovic, S. (1998). Multicriteria Optimization of Civil Engineering Systems. PhD Dissertation, Faculty of Civil Engineering, University of Belgrade
Citi nosaukumi	—	—	—
Saistītās	3	8	8
Kopsavilkums	SAPEVO-M (Simple Aggregation of Preferences Expressed by Ordinal Vectors — Multi-Decision Maker) is a weighting multi-criteria decision-making (MCDM) method introduced by Gomes, L. F. A. M. de Mello, J. C. C. B. S. Costa, H. G. 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.	VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje (Multicriteria Optimisation and Compromise Solution)) is a ranking multi-criteria decision-making (MCDM) method introduced by Opricovic, S. in 1998. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.