Bandingkan kaedah

	Fuzzy EDAS	Penilaian Berdasarkan Jarak dari Penyelesaian Purata	Fuzzy AHP
Bidang	Pembuatan Keputusan	Pembuatan Keputusan	Pembuatan Keputusan
Keluarga	MCDM	MCDM	MCDM
Tahun asal	2000	2015	1983
Pengasas	Chen, C. T.	Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z.	Van Laarhoven, P. J. M., Pedrycz, W.
Jenis	Fuzzy outranking/ranking — Triangular Fuzzy Number (TFN: l, m, u)	Distance from average solution	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
Sumber perintis	Chen, C. T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems	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	Van Laarhoven, P. J. M., Pedrycz, W. (1983). A fuzzy extension of Saaty's priority theory. Fuzzy Sets and Systems
Alias	—	—	—
Berkaitan	2	8	8
Ringkasan	FUZZY-EDAS (Fuzzy EDAS — Fuzzy extension of EDAS) 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.	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.	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.