Methoden vergleichen

	DEFUZZ-MOM	Fuzzy TOPSIS (Chen-Hwang 1992)	Technique for Order of Preference by Similarity to Ideal Solution
Fachgebiet	Entscheidungsfindung	Entscheidungsfindung	Entscheidungsfindung
Familie	MCDM	MCDM	MCDM
Entstehungsjahr	1990	1992	1981
Urheber	Lee, C.C.	Chen, S.-J., Hwang, C.-L.	Hwang, C. L., Yoon, K.
Typ	Defuzzification operator — mean of maxima	Distance-based ranking — Trapezoidal Fuzzy Number (TrFN: a, b, c, d) with Zadeh max-min similarity	Distance-based (compromise)
Wegweisende Quelle	Lee, C.C. (1990). Fuzzy logic in control systems: fuzzy logic controller, Part I. IEEE Transactions on Systems, Man, and Cybernetics	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	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
Aliasnamen	—	—	—
Verwandt	4	2	8
Zusammenfassung	DEFUZZ-MOM (Mean of Maxima (MOM) Defuzzification — Crisp value at the plateau of maximum membership) is a defuzzification multi-criteria decision-making (MCDM) method introduced by Lee, C.C. in 1990. 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.	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.