ScholarGate
Assistent

Võrdle meetodeid

Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.

Dual Hesitant Fuzzy EDAS-meetod (Dual Hesitant Fuzzy extension of EDAS)×Kriteeriumide korrelatsiooni ja standardhälbe objektiivne kaalutamine×
ValdkondOtsustamineOtsustamine
PerekondMCDMMCDM
Tekkeaasta20232010
LoojaNing, B., Lin, R., Wei, G., Chen, X.Wang, Y. M., Luo, Y.
TüüpDual Hesitant outranking/ranking — Dual Hesitant Fuzzy Element (DHFE: h(x) membership set, g(x) non-membership set)Correlation-penalised standard-deviation weighting
AlgallikasNing, B., Lin, R., Wei, G., Chen, X. (2023). EDAS method for multiple attribute group decision making with probabilistic dual hesitant fuzzy information and its application to suppliers selection. Technological and Economic Development of Economy 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 ↗
Rööpnimetused
Seotud88
KokkuvõteDHF-EDAS (Dual Hesitant Fuzzy extension of EDAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Ning, B., Lin, R., Wei, G., Chen, X. in 2023. 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.
ScholarGateAndmestik
  1. v1
  2. 1 Allikad
  3. PUBLISHED
  1. v1
  2. 1 Allikad
  3. PUBLISHED

Mine otsingusse Laadi slaidid alla

ScholarGateVõrdle meetodeid: DHF-EDAS · CCSD. Loetud 2026-06-17 aadressilt https://scholargate.app/et/compare