Manhattan Distance — L1 norm (linnasammaldistants) kahe vektori vahel
DIST-MANHATTAN (Manhattan Distance — L1 norm (linnasammaldistants) kahe vektori vahel) on mitmekriteerilise otsustamise (MCDM) meetod, mille võtsid 2020. aastal kasutusele Dezert, J., Tchamova, A., Han, D., Bhotto, M. Z. A. See teisendab erinevate kriteeriumite alusel hinnatud alternatiivide otsustusmaatriksi struktureeritud, korratava tulemuse saamiseks.
Loe meetodi täielikku kirjeldust
Selle osa lugemiseks logi sisse tasuta kontoga.
Method map
The neighbourhood of related methods — select a node to explore.
Allikad
- Dezert, J., Tchamova, A., Han, D., Bhotto, M. Z. A. (2020). Manhattan Distance. IEEE Transactions on Cybernetics link ↗
Kuidas sellele lehele viidata
ScholarGate. (2026, June 2). Manhattan Distance — L1 norm (city-block distance) between two vectors. ScholarGate. https://scholargate.app/et/decision-making/dist-manhattan
Which method?
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.
Compare side by side →Märkasid sellel lehel viga? Teata sellest või paku parandust →