Dual Hesitant Fuzzy extension of EDAS

When to use it

DHF-EDAS (Ning et al. 2023) is the PDHF-MAGDM extension of EDAS: p decision-makers each supply a PDHF (Probabilistic Dual Hesitant Fuzzy) matrix, aggregated by PDHFWA (Eq.21); cost columns are complemented (Step 3); the score function s_{D_α}(Ʒ)=(1+s_ħ-s_λ)/2 (Eq.11) reduces each cell to a crisp value; the score matrix is min–max normalised per attribute (Eq.22); the combined attribute weight ϖ (Eq.20) fuses CRITIC objective weight ω, PDHF entropy weight η, and decision-maker subjective weight w via Lagrange relative-entropy minimisation; the PDHFEDAS pipeline (PDHFAV→PDA/NDA→SP/SN→NSP/NSN→PDH

Strengths & limitations