ScholarGate
Avustaja

Vertaile menetelmiä

Tarkastele valitsemiasi menetelmiä rinnakkain; eroavat rivit korostetaan.

Double Normalization-Based Multiple Aggregation×Kriteerivaikutuksen menetys -painotusmenetelmä×
TieteenalaPäätöksentekoPäätöksenteko
MenetelmäperheMCDMMCDM
Syntyvuosi20202016
KehittäjäLiao, H., Wu, X.Zavadskas, E. K., Podvezko, V.
TyyppiDual-normalisation aggregation (linear + vector)Relative criterion-loss matrix weighting (Mirkin theorem based)
AlkuperäislähdeLiao, H., Wu, X. (2020). DNMA: A double normalization-based multiple aggregation method for multi-expert multi-criteria decision making. Omega DOI ↗Zavadskas, E. K., Podvezko, V. (2016). Integrated Determination of Objective Criteria Weights in MCDM. International Journal of Information Technology & Decision Making DOI ↗
Rinnakkaisnimet
Liittyvät88
TiivistelmäDNMA (Double Normalization-Based Multiple Aggregation) is a ranking multi-criteria decision-making (MCDM) method introduced by Liao, H., Wu, X. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.CILOS (Criterion Impact LOSs objective weighting method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Podvezko, V. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
ScholarGateAineisto
  1. v1
  2. 1 Lähteet
  3. PUBLISHED
  1. v1
  2. 1 Lähteet
  3. PUBLISHED

Siirry hakuun Lataa diat

ScholarGateVertaile menetelmiä: DNMA · CILOS. Haettu 2026-06-17 osoitteesta https://scholargate.app/fi/compare