ScholarGate
Ассистент

Сравнение методов

Просматривайте выбранные методы рядом; строки с различиями подсвечены.

Hesitant Fuzzy MARCOS×CILOS×
ОбластьПринятие решенийПринятие решений
СемействоMCDMMCDM
Год появления2020 crisp; 2023 variant applicator2016
Автор методаLi, G., Geng, X., Yuan, Y.Zavadskas, E. K., Podvezko, V.
ТипHesitant Fuzzy compromise ranking — MARCOS extended via Hesitant Fuzzy Elements (HFE)Relative criterion-loss matrix weighting (Mirkin theorem based)
Основополагающий источникLi, 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 ↗
Другие названия
Связанные88
СводкаHF-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.
ScholarGateНабор данных
  1. v1
  2. 1 Источники
  3. PUBLISHED
  1. v1
  2. 1 Источники
  3. PUBLISHED

Перейти к поиску Скачать слайды

ScholarGateСравнение методов: HF-MARCOS · CILOS. Получено 2026-06-18 из https://scholargate.app/ru/compare