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Hesitant Fuzzy EDAS (Evaluation Based on Distance from Average Solution)×CILOS×
ОбластьПринятие решенийПринятие решений
СемействоMCDMMCDM
Год появления20182016
Автор методаKutlu Gündoğdu, F.; Kahraman, C.; Civan, H. (HF-EDAS); Keshavarz Ghorabaee, M. et al. 2015 (base EDAS); Yu, D. 2014 (TFHFS value-space)Zavadskas, E. K., Podvezko, V.
ТипHesitant outranking/ranking — Triangular Fuzzy Hesitant Fuzzy Set (TFHFS, Yu 2014): each cell is a finite set of triangular fuzzy numbers in [0,1]^3Relative criterion-loss matrix weighting (Mirkin theorem based)
Основополагающий источникKutlu Gündoğdu, F., Kahraman, C., Civan, H. N. (2018). A novel hesitant fuzzy EDAS method and its application to hospital selection. Journal of Intelligent & Fuzzy Systems DOI ↗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-EDAS (Hesitant Fuzzy EDAS (Evaluation Based on Distance from Average Solution)) is a ranking multi-criteria decision-making (MCDM) method introduced by Kutlu Gündoğdu, F.; Kahraman, C.; Civan, H. (HF-EDAS); Keshavarz Ghorabaee, M. et al. 2015 (base EDAS); Yu, D. 2014 (TFHFS value-space) in 2018. 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
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  2. 1 Источники
  3. PUBLISHED
  1. v1
  2. 1 Источники
  3. PUBLISHED

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