Comparar métodos

	Fuzzy BWM	Avaliação Aditiva de Razão	Avaliação Baseada na Distância da Solução Média	Comparação de Área de Aproximação de Fronteira Multi-Atributiva
Área	Tomada de decisão	Tomada de decisão	Tomada de decisão	Tomada de decisão
Família	MCDM	MCDM	MCDM	MCDM
Ano de origem	2015 crisp; 2017 variant applicator	2010	2015	2015
Autor original	Guo, S., Zhao, H.	Zavadskas, E. K., Turskis, Z.	Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z.	Pamučar, D., Ćirović, G.
Tipo	Triangular-fuzzy Best-to-Others and Others-to-Worst pairwise comparison with nonlinearly-constrained programming	Additive utility ratio (optimal reference row)	Distance from average solution	Border approximation area (distance from BAA)
Fonte seminal	Guo, S., Zhao, H. (2017). Fuzzy best-worst multi-criteria decision-making method and its applications. Knowledge-Based Systems	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
Outros nomes	—	—	—	—
Relacionados	8	8	8	8
Resumo	FUZZY-BWM (Fuzzy BWM — Triangular Fuzzy Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Guo, S., Zhao, H. in 2015 crisp; 2017 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.