MCDMDistancecrisp

Manhattan Distance — L1 norm (city-block distance) between two vectors

DIST-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.

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Sources

  1. Dezert, J., Tchamova, A., Han, D., Bhotto, M. Z. A. (2020). Manhattan Distance. IEEE Transactions on Cybernetics DOI: 10.32388/hfj0b2

Related methods

ScholarGateDIST-MANHATTAN (Manhattan Distance — L1 norm (city-block distance) between two vectors). Retrieved 2026-06-04 from https://scholargate.app/en/decision-making/dist-manhattan