Salīdzināt metodes

	Vienkārša preferenču agregācija, kas izteikta ar ordinālu vektoru	Vienkāršā aditīvā svēršana	Tehnika priekšrocību secībai pēc līdzības ar ideālo risinājumu
Nozare	Lēmumu pieņemšana	Lēmumu pieņemšana	Lēmumu pieņemšana
Saime	MCDM	MCDM	MCDM
Izcelsmes gads	2020	1967	1981
Autors	Gomes, L. F. A. M. de Mello, J. C. C. B. S. Costa, H. G.	Fishburn, P. C.	Hwang, C. L., Yoon, K.
Tips	Ordinal pairwise comparisons from multiple DMs aggregated into priority weights	Additive utility (linear)	Distance-based (compromise)
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	Fishburn, P. C. (1967). Additive utilities with incomplete product sets: Application to priorities and assignments. Operations Research	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
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.	SAW (Simple Additive Weighting) is a ranking multi-criteria decision-making (MCDM) method introduced by Fishburn, P. C. in 1967. 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.