MCDMRankingTriangular fuzzy hesitant

Hesitant Fuzzy EDAS (Evaluation Based on Distance from Average Solution)

HF-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.

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Sources

  1. Kutlu 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: 10.3233/JIFS-181172

Related methods

ScholarGateHF-EDAS (Hesitant Fuzzy EDAS (Evaluation Based on Distance from Average Solution)). Retrieved 2026-06-04 from https://scholargate.app/en/decision-making/hf-edas