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Metodologi Logaritma Fuzzy Bobot Aditif (TFN)×Evaluasi Berbasis Jarak dari Solusi Rata-rata×Perbandingan Luas Aproksimasi Batas Multi-Atribut×
BidangPengambilan KeputusanPengambilan KeputusanPengambilan Keputusan
KeluargaMCDMMCDMMCDM
Tahun asal2021 crisp; 2022 variant applicator20152015
PencetusBožanić, D., Pamučar, D., Milić, A., Marinković, D., Komazec, N.Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z.Pamučar, D., Ćirović, G.
TipeTriangular-fuzzy linguistic expert weighting with Bonferroni aggregation; logarithmic transform around an absolute anti-ideal pointDistance from average solutionBorder approximation area (distance from BAA)
Sumber perintisBožanić, D., Pamučar, D., Milić, A., Marinković, D., Komazec, N. (2022). Modification of the Logarithm Methodology of Additive Weights (LMAW) by a Triangular Fuzzy Number and Its Application in Multi-Criteria Decision Making. Axioms DOI ↗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 DOI ↗Pamučar, D., Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications DOI ↗
Alias
Terkait888
RingkasanF-LMAW (Fuzzy Logarithm Methodology of Additive Weights (TFN)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Božanić, D., Pamučar, D., Milić, A., Marinković, D., Komazec, N. in 2021 crisp; 2022 variant applicator. 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.MABAC (Multi-Attributive Border Approximation area Comparison) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamučar, D., Ćirović, G. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateBandingkan metode: F-LMAW · EDAS · MABAC. Diakses 2026-06-19 dari https://scholargate.app/id/compare