Table 3 Aggregated TFFNs using TFFSWWA.
From: Development of a triangular Fermatean fuzzy EDAS model for remote patient monitoring applications
\({\tilde{\mathbf{\chi }}}_{{\varvec{p}}} \backslash {\mathbf{\overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\smile}$}}{\uppsi } }}_{{\varvec{q}}}\) | \({\mathbf{\overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\smile}$}}{\uppsi } }}_{1}\) | \({\mathbf{\overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\smile}$}}{\uppsi } }}_{2}\) | \({\mathbf{\overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\smile}$}}{\uppsi } }}_{3}\) | \({\mathbf{\overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\smile}$}}{\uppsi } }}_{4}\) |
|---|---|---|---|---|
\({\tilde{\chi }}_{1}\) | ((1.97,4.04,6.06); 0.73,0.40) | ((1.60,4.04,6.31); 0.70,0.51) | ((1.15,3.07,4.59); 0.70,0.50) | ((2.29,3.91,5.74); 0.72,0.45) |
\({\tilde{\chi }}_{2}\) | ((1.99,4.10,6.19); 0.66,0.33) | ((2.13,4.28,6.54); 0.84,0.48) | ((1.76,2.81,4.18); 0.81,0.53) | ((1.99,3.46,5.49); 0.67,0.32) |
\({\tilde{\chi }}_{3}\) | ((1.24,2.71,4.85); 0.74,0.42) | ((1.53,3.07,4.78); 0.70,0.34) | ((2.13,3.19,5.78); 0.63,0.40) | ((2.13,4.22,6.25); 0.83,0.54) |
\({\tilde{\chi }}_{4}\) | ((2.17,3.70,5.51); 0.70,0.41) | ((3.03,4.51,5.78); 0.81,0.63) | ((1.83,2.96,6.13); 0.84,0.35) | ((1.38,3.52,6.19); 0.67,0.33) |
\({\tilde{\chi }}_{5}\) | ((3.48,4.51,6.48); 0.68,0.47) | ((1.99,4.00,6.19); 0.66,0.54) | ((1.89,3.02,5.74); 0.66,0.38) | ((1.87,3.32,5.14); 0.55,0.40) |
