ScholarGate
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MCDMRankingLinguistic 2tuple

Sproglig udvidelse af L2T-COPRAS

L2T-COPRAS (sproglig udvidelse af L2T-COPRAS) er en rangerende multikriteriebeslutningsmetode (MCDM), introduceret af Gai, T., Cao, M., Cao, Q., Wu, J., Yu, G., Zhou, M. i 2021. Den omdanner en beslutningsmatrix af alternativer bedømt på flere kriterier til et struktureret, reproducerbart resultat.

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  1. Gai, T., Cao, M., Cao, Q., Wu, J., Yu, G., Zhou, M. (2021). An integrated method for hybrid distribution with estimation of demand matching degree (interval 2-tuple linguistic COPRAS). link

Sådan citerer du denne side

ScholarGate. (2026, June 2). Linguistic extension of L2T-COPRAS. ScholarGate. https://scholargate.app/da/decision-making/l2t-copras

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ScholarGateL2T-COPRAS (Linguistic extension of L2T-COPRAS). Hentet 2026-06-15 fra https://scholargate.app/da/decision-making/l2t-copras · Datasæt: https://doi.org/10.5281/zenodo.20539026