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Penilaian Rasio Aditif×Perbandingan Luas Aproksimasi Batas Multi-Atribut×
BidangPengambilan KeputusanPengambilan Keputusan
KeluargaMCDMMCDM
Tahun asal20102015
PencetusZavadskas, E. K., Turskis, Z.Pamučar, D., Ćirović, G.
TipeAdditive utility ratio (optimal reference row)Border approximation area (distance from BAA)
Sumber perintisZavadskas, E. K., Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy link ↗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
Terkait88
RingkasanARAS (Additive Ratio Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Turskis, Z. in 2010. 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: ARAS · MABAC. Diakses 2026-06-19 dari https://scholargate.app/id/compare