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Distància de Manhattan×Avaluació Combinatòria Basada en Distàncies×
CampPresa de decisionsPresa de decisions
FamíliaMCDMMCDM
Any d'origen20202016
Autor originalDezert, J., Tchamova, A., Han, D., Bhotto, M. Z. A.Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J.
TipusDistance (L1, city-block)Distance from anti-ideal (Euclidean + Taxicab)
Font seminalDezert, J., Tchamova, A., Han, D., Bhotto, M. Z. A. (2020). Manhattan Distance. IEEE Transactions on Cybernetics link ↗Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. (2016). A new combinative distance-based assessment (CODAS) method for multi-criteria decision-making. Economic Computation and Economic Cybernetics Studies and Research link ↗
Àlies
Relacionats18
ResumDIST-MANHATTAN (Manhattan Distance — L1 norm (city-block distance) between two vectors) is a distance multi-criteria decision-making (MCDM) method introduced by Dezert, J., Tchamova, A., Han, D., Bhotto, M. Z. A. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.CODAS (Combinative Distance-Based Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateCompara mètodes: DIST-MANHATTAN · CODAS. Recuperat el 2026-06-17 de https://scholargate.app/ca/compare