Confronta i metodi

	Fuzzy ARAS	Estensione Fuzzy di MARCOS	Fuzzy TOPSIS (Chen-Hwang 1992)
Campo	Processo decisionale	Processo decisionale	Processo decisionale
Famiglia	MCDM	MCDM	MCDM
Anno di origine	2010	2000	1992
Ideatore	Turskis, Z., Zavadskas, E. K.	Chen, C. T.	Chen, S.-J., Hwang, C.-L.
Tipo	Fuzzy outranking/ranking — Triangular Fuzzy Number (TFN: l, m, u)	Fuzzy outranking/ranking — Triangular Fuzzy Number (TFN: l, m, u)	Distance-based ranking — Trapezoidal Fuzzy Number (TrFN: a, b, c, d) with Zadeh max-min similarity
Fonte seminale	Turskis, Z., Zavadskas, E. K. (2010). A new fuzzy additive ratio assessment method (ARAS–F). Case study: the analysis of fuzzy multiple criteria in order to select the logistic centers location. Transport	Chen, C. T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems	Chen, S.-J., Hwang, C.-L. (1992). Fuzzy Multiple Attribute Decision Making: Methods and Applications. Lecture Notes in Economics and Mathematical Systems, Vol. 375, Springer-Verlag, Berlin
Alias	—	—	—
Correlati	2	2	2
Sintesi	FUZZY-ARAS (Fuzzy ARAS — Fuzzy extension of ARAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Turskis, Z., Zavadskas, E. K. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	FUZZY-MARCOS (Fuzzy MARCOS — Fuzzy extension of MARCOS) is a ranking multi-criteria decision-making (MCDM) method introduced by Chen, C. T. in 2000. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	FUZZY-TOPSIS (Fuzzy TOPSIS (Chen-Hwang 1992) — Trapezoidal fuzzy TOPSIS with Zadeh sup-min similarity distance) is a ranking multi-criteria decision-making (MCDM) method introduced by Chen, S.-J., Hwang, C.-L. in 1992. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.