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Defuzifikasi Keratan-α×Fuzzy AHP×Teknik untuk Susunan Keutamaan mengikut Keserupaan dengan Penyelesaian Ideal×
BidangPembuatan KeputusanPembuatan KeputusanPembuatan Keputusan
KeluargaMCDMMCDMMCDM
Tahun asal1965; 198519831981
PengasasZadeh, L.A.Van Laarhoven, P. J. M., Pedrycz, W.Hwang, C. L., Yoon, K.
JenisDefuzzification operator — alpha-cut crisp approximationPairwise 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-basedDistance-based (compromise)
Sumber perintisZadeh, L.A. (1965). Fuzzy sets. Information and Control DOI ↗Van Laarhoven, P. J. M., Pedrycz, W. (1983). A fuzzy extension of Saaty's priority theory. Fuzzy Sets and Systems DOI ↗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 DOI ↗
Alias
Berkaitan688
RingkasanDEFUZZ-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-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.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.
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ScholarGateBandingkan kaedah: DEFUZZ-ALPHA-CUT · FUZZY-AHP · TOPSIS. Dicapai 2026-06-19 daripada https://scholargate.app/ms/compare