Table 14 Revised GDIS.

From: Analyzing of optimal classifier selection for EEG signals of depression patients based on intelligent fuzzy decision support systems

RGDIS

\({{\varvec{C}}}_{1}\)

\({{\varvec{C}}}_{2}\)

\({{\varvec{C}}}_{3}\)

\({{\varvec{C}}}_{4}\)

\({{\varvec{C}}}_{5}\)

\({{\varvec{P}}}_{1}\)

\(\left(0.678, 0.830\right)\)

\(\left(0.819, 0.804\right)\)

\(\left(0.768, 0.642\right)\)

\(\left(0.879, 0.592\right)\)

\(\left(\mathrm{0.831,0.863}\right)\)

\({{\varvec{P}}}_{2}\)

\(\left(0.563, 0.821\right)\)

\(\left(0.309, 0.864\right)\)

\(\left(0.742, 0.406\right)\)

\(\left(0.795, 0.900\right)\)

\(\left(\mathrm{0.751,0.765}\right)\)

\({{\varvec{P}}}_{3}\)

\(\left(0.237, 0.789\right)\)

\(\left(0.486, 0.754\right)\)

\(\left(0.387, 0.566\right)\)

\(\left(0.367, 0.769\right)\)

\(\left(0.644, 0.771\right)\)

\({{\varvec{P}}}_{4}\)

\(\left(0.451, 0.796\right)\)

\(\left(0.773, 0.824\right)\)

\(\left(0.829, 0.851\right)\)

\(\left(0.866, 0.783\right)\)

\(\left(\mathrm{0.739,0.822}\right)\)

\({{\varvec{P}}}_{5}\)

\(\left(0.486, 0.593\right)\)

\(\left(0.768, 0.766\right)\)

\(\left(0.834, 0.820\right)\)

\(\left(0.828, 0.804\right)\)

\(\left(\mathrm{0.767,0.801}\right)\)