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MCDMRankingLinguistic probabilistic

Plithogenic MABAC (with BWM weighting and Rough Number uncertainty)

Keputusan sebenar menimbang beberapa kriteria yang bercanggahan diukur pada skala yang berbeza. PL-MABAC menyediakan prosedur langkah demi langkah yang telusupaya untuk menggabungkan kriteria tersebut kepada hasil yang boleh dipertahankan berbanding bergantung semata-mata pada intuisi.

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Sumber

  1. Pamučar, D., Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using MABAC. Expert Systems with Applications link

Cara memetik halaman ini

ScholarGate. (2026, June 2). Plithogenic MABAC (with BWM weighting and Rough Number uncertainty). ScholarGate. https://scholargate.app/ms/decision-making/pl-mabac

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ScholarGatePL-MABAC (Plithogenic MABAC (with BWM weighting and Rough Number uncertainty)). Dicapai 2026-06-15 daripada https://scholargate.app/ms/decision-making/pl-mabac · Set data: https://doi.org/10.5281/zenodo.20539026