MCDMRankinghesitant

Hesitant Fuzzy Additive Ratio Assessment

HF-ARAS (Hesitant Fuzzy Additive Ratio Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Mishra, A. R., Rani, P., Krishankumar, R., Ravichandran, K. S., Kar, S. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.

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Sources

  1. Mishra, A. R., Rani, P., Krishankumar, R., Ravichandran, K. S., Kar, S. (2021). A multi-criteria framework for evaluating the sustainable drug selection for COVID-19 patients using hesitant fuzzy information and ARAS method. Applied Soft Computing Journal DOI: 10.1016/j.asoc.2021.107155
ScholarGateHF-ARAS (Hesitant Fuzzy Additive Ratio Assessment). Retrieved 2026-06-04 from https://scholargate.app/tr/decision-making/hf-aras