Jämför metoder

	Logaritmisk dekomposition av kriterievikt	Automatisk parvis linjär ordningskombination	Alternative Ranking Order Method Accounting for Two-Step Normalisation
Ämnesområde	Beslutsfattande	Beslutsfattande	Beslutsfattande
Familj	MCDM	MCDM	MCDM
Ursprungsår	2024	2020	2022
Upphovsperson	Pala, O.	Konstantinos, N., Xenakis, A., Kehagias, A.	Zdravković, M., Hamid, M., Radovanović, M.
Typ	Objective weighting via logarithmic decomposition	Pairwise dominance aggregation (automatic combination)	Two-step normalisation (linear + vector) with weighted power aggregation
Ursprungskälla	Pala, O. (2024). Assessment of the social progress on European Union by logarithmic decomposition of criteria importance. Expert Systems With Applications	Konstantinos, N., Xenakis, A., Kehagias, A. (2020). APLOCO: A linear programming-based multicriteria ranking method that handles dependent criteria and criteria groups. Operational Research	Zdravković, M., Hamid, M., Radovanović, M. (2022). AROMAN — Alternative Ranking Order Method Accounting for Two-Step Normalisation. Journal of Computational Design and Engineering
Alias	—	—	—
Närliggande	8	8	8
Sammanfattning	LODECI (LOgarithmic DEcomposition of Criteria Importance) is a weight objective multi-criteria decision-making (MCDM) method introduced by Pala, O. in 2024. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	APLOCO (Automatic Pairwise Linear Order Combination) is a ranking multi-criteria decision-making (MCDM) method introduced by Konstantinos, N., Xenakis, A., Kehagias, A. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	AROMAN (Alternative Ranking Order Method Accounting for Two-Step Normalisation) is a ranking multi-criteria decision-making (MCDM) method introduced by Zdravković, M., Hamid, M., Radovanović, M. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.