Step 1: Define criteria of Vaccine distribution:
identify$C[i]$	// C is the set of the identified criteria of vaccine distribution
Step 2: Structured expert judgment:
Define E[i]	// E is the set of the potential nominated expert panellists
Define EF, Imp	// The evaluation form (EF) with the level of importance scale (Imp) is defined and built in this step for the criteria.
m $\leftarrow$ length (E)  For i in {1..m}   if E(i) is true then E(i) $\leftarrow$ EF(i)  endif   endfor	// The evaluation form of the criteria assigns to the selected experts who had previously accepted (i.e. true) to participate
Step 3: Building the Expert Decision Matrix (EDM):
Initialize$\mathit{EDM}[i,j]\leftarrow E\uplus C$  J $\leftarrow$ length (C)  m $\leftarrow$ length (E)	// A crossover between the selected expert panellists and the vaccine distribution criteria is conducted to build the EDM matrix
For j in {1..J}   For i in {1..m}    $\mathrm{E}\mathrm{D}\mathrm{M}[i,j]\leftarrow \mathrm{I}\mathrm{m}\mathrm{p}\left(E_{\mathit{ij}}/C_{\mathit{ij}}\right)$   endfor  endfor	// The given score of importance by the selected expert per criterion is assigned in EDM
Step 4: Application of Pythagorean fuzzy membership function:
For j in {1..J}   For i in {1..m}    $\widetilde{\mathit{EDM}}[i,j]\leftarrow EDM[i,j]$   endfor  endfor	// The linguistic term of the EDM is transformed into a Pythagorean EDM ($\tilde{E}DM$) by using PFN similar to that in Eq.(1)and by referring toTable 3
Step 5: Compute the final weight for each criterion:
Step 5.1: Find ratio value
For j in {1..J}   For i in {1..m}    ${\tilde{E}}_{\mathit{ij}}:{\tilde{C}}_{\mathit{ij}}=\frac{\mathrm{I}\mathrm{m}\mathrm{p}\left({\tilde{E}}_{\mathit{ij}}/{\tilde{C}}_{\mathit{ij}}\right)}{{\sum }_{j=1}^n\mathrm{I}\mathrm{m}\mathrm{p}\left({\tilde{E}}_{\mathit{ij}}/{\tilde{C}}_{\mathit{ij}}\right)}$   endfor  endfor	// The ratio of the fuzzification data is computed according to Eqs.(3), (4), (5), as formulated in Eq.(8)
Step 5.2: Find the fuzzy value of the final weight:
For j in {1..J}   For i in {1..m}
${\tilde{w}}_j={\sum }_{i=1}^m{\tilde{E}}_{\mathit{ij}}:{\tilde{C}}_{\mathit{ij}}/m$	// The mean values are computed to find the fuzzy values of the final weight by using Eq.(6)similar to that formulated in Eq.(9)
$w[j]\leftarrow \tilde{w}\left[{\mu }_j\right]-\tilde{w}\left[v_j\right]$	// A defuzzication is conducted to find the final weight using Eq.(7)
endfor  endfor