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Penentuan Bobot Fuzzy berdasarkan Koefisien Kemiringan (ekstensi fuzzy segitiga)×Metode Urutan Peringkat Alternatif yang Mempertimbangkan Normalisasi Dua Langkah×
BidangPengambilan KeputusanPengambilan Keputusan
KeluargaMCDMMCDM
Tahun asal20242022
PencetusDemir, G., Ulusoy, S. K.Zdravković, M., Hamid, M., Radovanović, M.
TipeWeight_Subjective (linguistic-TFN expert weighting; envelope/slope ratio on TFN accumulation polyline)Two-step normalisation (linear + vector) with weighted power aggregation
Sumber perintisDemir, G., Ulusoy, S. K. (2024). Bulanık WENSLO Yöntemi ile Kriter Ağırlıklarının Belirlenmesi: Dijital Bankacılık Uygulaması. Computer and Decision Making — An International Journal link ↗Zdravković, M., Hamid, M., Radovanović, M. (2022). AROMAN — Alternative Ranking Order Method Accounting for Two-Step Normalisation. Journal of Computational Design and Engineering link ↗
Alias
Terkait88
RingkasanB-WENSLO (Fuzzy WEight deNomination based on Slope coefficient (triangular fuzzy extension)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Demir, G., Ulusoy, S. K. in 2024. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.AROMAN (Alternative Ranking Order Method Accounting for Two-Step Normalisation) is a ranking multi-criteria decision-making (MCDM) method introduced by Zdravković, M., Hamid, M., Radovanović, M. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateBandingkan metode: B-WENSLO · AROMAN. Diakses 2026-06-19 dari https://scholargate.app/id/compare