Salīdzināt metodes

	Fuzzy DNMA	Divkārtējās normalizācijas balstīta daudzkārtējā agregācija	Fuzzy AHP
Nozare	Lēmumu pieņemšana	Lēmumu pieņemšana	Lēmumu pieņemšana
Saime	MCDM	MCDM	MCDM
Izcelsmes gads	2000	2020	1983
Autors	Chen, C. T.	Liao, H., Wu, X.	Van Laarhoven, P. J. M., Pedrycz, W.
Tips	Fuzzy outranking/ranking — Triangular Fuzzy Number (TFN: l, m, u)	Dual-normalisation aggregation (linear + vector)	Pairwise comparison with Triangular Fuzzy Number (TFN: l, m, u) judgments — umbrella over Van Laarhoven-Pedrycz 1983, Buckley 1985, Chang 1992 extent analysis, Cheng 1996 entropy-based
Pirmavots	Chen, C. T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems	Liao, H., Wu, X. (2020). DNMA: A double normalization-based multiple aggregation method for multi-expert multi-criteria decision making. Omega	Van Laarhoven, P. J. M., Pedrycz, W. (1983). A fuzzy extension of Saaty's priority theory. Fuzzy Sets and Systems
Citi nosaukumi	—	—	—
Saistītās	2	8	8
Kopsavilkums	FUZZY-DNMA (Fuzzy DNMA — Fuzzy extension of DNMA) 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.	DNMA (Double Normalization-Based Multiple Aggregation) is a ranking multi-criteria decision-making (MCDM) method introduced by Liao, H., Wu, X. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	FUZZY-AHP (Fuzzy AHP — Fuzzy extension of the Analytic Hierarchy Process) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Van Laarhoven, P. J. M., Pedrycz, W. in 1983. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.