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Njia ya Z-Nambari Bora-Mbaya×Upanuzi wa Nambari-Z wa TOPSIS×
NyanjaUfanyaji MaamuziUfanyaji Maamuzi
FamiliaMCDMMCDM
Mwaka wa asili20182018
MwanzilishiAboutorab, Saberi, Asadabadi, Hussain, Chang (UTS Sydney, Australia)Gardashova, L. A.
AinaPairwise comparison weighting under Z-number uncertaintyZ-Number outranking/ranking — Z-Number (Z = (A, B): restriction A, reliability B; both fuzzy)
Chanzo asiliaAboutorab, H., Saberi, M., Asadabadi, M.R., Hussain, O., Chang, E. (2018). ZBWM: The Z-number extension of Best Worst Method and its application for supplier development. Expert Systems with Applications DOI ↗Gardashova, L. A. (2018). Z-Number Based TOPSIS Method in Multi-Criteria Decision Making. Advances in Intelligent Systems and Computing DOI ↗
Majina mbadala
Zinazohusiana88
MuhtasariZ-BWM (Z-Number Best-Worst Method) is a weighting multi-criteria decision-making (MCDM) method introduced by Aboutorab, Saberi, Asadabadi, Hussain, Chang (UTS Sydney, Australia) in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.Z-TOPSIS (Z-Number extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Gardashova, L. A. in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateLinganisha mbinu: Z-BWM · Z-TOPSIS. Imepatikana 2026-06-18 kutoka https://scholargate.app/sw/compare