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Metodologi Logaritma Kabur Pemberat Aditif (TFN)×Penilaian Hasil Tambahan Hasil Darab Berwajaran×
BidangPembuatan KeputusanPembuatan Keputusan
KeluargaMCDMMCDM
Tahun asal2021 crisp; 2022 variant applicator2012
PengasasBožanić, D., Pamučar, D., Milić, A., Marinković, D., Komazec, N.Zavadskas, E. K., Turskis, Z., Antucheviciene, J., Zakarevicius, A.
JenisTriangular-fuzzy linguistic expert weighting with Bonferroni aggregation; logarithmic transform around an absolute anti-ideal pointConvex combination (SAW + WPM)
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 ↗Zavadskas, E. K., Turskis, Z., Antucheviciene, J., Zakarevicius, A. (2012). Optimization of weighted aggregated sum product assessment. Elektronika ir Elektrotechnika DOI ↗
Alias
Berkaitan88
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.WASPAS (Weighted Aggregated Sum Product Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Turskis, Z., Antucheviciene, J., Zakarevicius, A. in 2012. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateBandingkan kaedah: F-LMAW · WASPAS. Dicapai 2026-06-18 daripada https://scholargate.app/ms/compare