ScholarGate
Assistent

Sammenlign metoder

Gennemgå dine valgte metoder side om side; rækker, der afviger, er fremhævet.

Hesitant Fuzzy MARCOS×CILOS×
FagområdeBeslutningstagningBeslutningstagning
FamilieMCDMMCDM
Oprindelsesår2020 crisp; 2023 variant applicator2016
OphavspersonLi, G., Geng, X., Yuan, Y.Zavadskas, E. K., Podvezko, V.
TypeHesitant Fuzzy compromise ranking — MARCOS extended via Hesitant Fuzzy Elements (HFE)Relative criterion-loss matrix weighting (Mirkin theorem based)
Oprindelig kildeLi, G., Geng, X., Yuan, Y. (2023). An integrated MCDM method based on hesitant fuzzy MARCOS for supplier evaluation under sustainability requirements. Journal of Intelligent & Fuzzy Systems link ↗Zavadskas, E. K., Podvezko, V. (2016). Integrated Determination of Objective Criteria Weights in MCDM. International Journal of Information Technology & Decision Making DOI ↗
Aliasser
Relaterede88
ResuméHF-MARCOS (Hesitant Fuzzy MARCOS) is a ranking multi-criteria decision-making (MCDM) method introduced by Li, G., Geng, X., Yuan, Y. in 2020 crisp; 2023 variant applicator. 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.
ScholarGateDatasæt
  1. v1
  2. 1 Kilder
  3. PUBLISHED
  1. v1
  2. 1 Kilder
  3. PUBLISHED

Gå til søgning Hent slides

ScholarGateSammenlign metoder: HF-MARCOS · CILOS. Hentet 2026-06-18 fra https://scholargate.app/da/compare