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Hesitant Fuzzy EDAS (Evaluation Based on Distance from Average Solution)×Аналитический иерархический процесс×
ОбластьПринятие решенийПринятие решений
СемействоMCDMMCDM
Год появления20181980
Автор методаKutlu Gündoğdu, F.; Kahraman, C.; Civan, H. (HF-EDAS); Keshavarz Ghorabaee, M. et al. 2015 (base EDAS); Yu, D. 2014 (TFHFS value-space)Saaty, T. L.
ТипHesitant outranking/ranking — Triangular Fuzzy Hesitant Fuzzy Set (TFHFS, Yu 2014): each cell is a finite set of triangular fuzzy numbers in [0,1]^3Pairwise comparison (eigenvalue)
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 ↗Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713
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.AHP (Analytic Hierarchy Process) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Saaty, T. L. in 1980. 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 · AHP. Получено 2026-06-18 из https://scholargate.app/ru/compare