Sammenlign metoder

	Alpha-Cut Defuzzification	Fuzzy TOPSIS (Chen-Hwang 1992)	Technique for Order of Preference by Similarity to Ideal Solution
Fagområde	Beslutningstagning	Beslutningstagning	Beslutningstagning
Familie	MCDM	MCDM	MCDM
Oprindelsesår	1965; 1985	1992	1981
Ophavsperson	Zadeh, L.A.	Chen, S.-J., Hwang, C.-L.	Hwang, C. L., Yoon, K.
Type	Defuzzification operator — alpha-cut crisp approximation	Distance-based ranking — Trapezoidal Fuzzy Number (TrFN: a, b, c, d) with Zadeh max-min similarity	Distance-based (compromise)
Oprindelig kilde	Zadeh, L.A. (1965). Fuzzy sets. Information and Control	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
Aliasser	—	—	—
Relaterede	6	2	8
Resumé	DEFUZZ-ALPHA-CUT (Alpha-Cut Defuzzification — Crisp interval or representative via α-level cut) is a defuzzification multi-criteria decision-making (MCDM) method introduced by Zadeh, L.A. in 1965; 1985. 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.