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Manhattan-avstand — L1-normen (byblokkavstand) mellom to vektorer

DIST-MANHATTAN (Manhattan-avstand — L1-normen (byblokkavstand) mellom to vektorer) er en metode for multi-kriteriell beslutningstaking (MCDM) introdusert av Dezert, J., Tchamova, A., Han, D., Bhotto, M. Z. A. i 2020. Den omgjør en beslutningsmatrise av alternativer vurdert på flere kriterier til et strukturert, reproduserbart resultat.

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Kilder

  1. Dezert, J., Tchamova, A., Han, D., Bhotto, M. Z. A. (2020). Manhattan Distance. IEEE Transactions on Cybernetics link

Slik siterer du denne siden

ScholarGate. (2026, June 2). Manhattan Distance — L1 norm (city-block distance) between two vectors. ScholarGate. https://scholargate.app/no/decision-making/dist-manhattan

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Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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ScholarGateDIST-MANHATTAN (Manhattan Distance — L1 norm (city-block distance) between two vectors). Hentet 2026-06-15 fra https://scholargate.app/no/decision-making/dist-manhattan · Datasett: https://doi.org/10.5281/zenodo.20539026