Porovnať metódy

	Fuzzy Full Consistency Method (TFN)	Metóda Additive Ratio Assessment	Vyhodnotenie založené na vzdialenosti od priemerného riešenia	Porovnanie plôch hraničnej aproximácie s viacerými atribútmi
Odbor	Rozhodovanie	Rozhodovanie	Rozhodovanie	Rozhodovanie
Rodina	MCDM	MCDM	MCDM	MCDM
Rok vzniku	2018 crisp; 2020 variant applicator	2010	2015	2015
Tvorca	Pamucar, D., Ecer, F.	Zavadskas, E. K., Turskis, Z.	Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z.	Pamučar, D., Ćirović, G.
Typ	Triangular-fuzzy pairwise priority weighting with full-consistency NLP	Additive utility ratio (optimal reference row)	Distance from average solution	Border approximation area (distance from BAA)
Pôvodný zdroj	Pamucar, D., Ecer, F. (2020). Prioritizing the weights of the evaluation criteria under fuzziness: The fuzzy full consistency method – FUCOM-F. Facta Universitatis, Series: Mechanical Engineering	Zavadskas, E. K., Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy	Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica	Pamučar, D., Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications
Ďalšie názvy	—	—	—	—
Príbuzné	8	8	8	8
Zhrnutie	FUCOM-F (Fuzzy Full Consistency Method (TFN)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Pamucar, D., Ecer, F. in 2018 crisp; 2020 variant applicator. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	ARAS (Additive Ratio Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Turskis, Z. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	EDAS (Evaluation Based on Distance from Average Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	MABAC (Multi-Attributive Border Approximation area Comparison) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamučar, D., Ćirović, G. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.