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PL-MABAC×Kaedah Pemberat Entropi Shannon×
BidangPembuatan KeputusanPembuatan Keputusan
KeluargaMCDMMCDM
Tahun asal20151948
PengasasPamučar, D. Ćirović, G.Shannon, C. E.
JenisPlithogenic-rough border approximation area (PL+RN+MABAC)Information-theoretic objective weighting (Shannon entropy)
Sumber perintisPamučar, D., Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using MABAC. Expert Systems with Applications link ↗Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal DOI ↗
Alias
Berkaitan38
RingkasanPL-MABAC (Plithogenic MABAC (with BWM weighting and Rough Number uncertainty)) 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.ENTROPY (Shannon Entropy Weighting Method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Shannon, C. E. in 1948. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateBandingkan kaedah: PL-MABAC · ENTROPY. Dicapai 2026-06-17 daripada https://scholargate.app/ms/compare