ScholarGate
Asistent

Porovnat metody

Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.

ROUGH-MABAC×Objektivní vážení metodou CCSD (Criteria Correlation and Standard Deviation)×
OborRozhodováníRozhodování
RodinaMCDMMCDM
Rok vzniku20192010
TvůrceJia, F., Liu, Y., Wang, X.Wang, Y. M., Luo, Y.
TypIF-Rough outranking/ranking — Intuitionistic Fuzzy Rough Number (membership μ, non-membership ν)Correlation-penalised standard-deviation weighting
Původní zdrojJia, F., Liu, Y., Wang, X. (2019). An extended MABAC method for multi-criteria group decision making based on intuitionistic fuzzy rough numbers. Expert Systems with Applications DOI ↗Wang, Y. M., Luo, Y. (2010). Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making. Mathematical and Computer Modelling DOI ↗
Další názvy
Příbuzné88
ShrnutíROUGH-MABAC (Rough-MABAC — Rough extension of MABAC) is a ranking multi-criteria decision-making (MCDM) method introduced by Jia, F., Liu, Y., Wang, X. in 2019. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.CCSD (Criteria Correlation and Standard Deviation objective weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Wang, Y. M., Luo, Y. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
ScholarGateDatová sada
  1. v1
  2. 1 Zdroje
  3. PUBLISHED
  1. v1
  2. 1 Zdroje
  3. PUBLISHED

Přejít na hledání Stáhnout prezentaci

ScholarGatePorovnat metody: ROUGH-MABAC · CCSD. Získáno 2026-06-17 z https://scholargate.app/cs/compare