Table 6 Criteria weights.

From: TOPSIS driven complex picture fuzzy approach for speech matching and sports training feature recognition

 

\({\text{m}}_{j}^{r}\)

\({\text{m}}_{j}^{i}\)

\({a}_{j}^{r}\)

\({a}_{j}^{i}\)

\({n}_{j}^{r}\)

\({n}_{j}^{i}\)

\({C}_{1}\)

\(0.553\)

\(0.133\)

\(0.223\)

\(0.079\)

\(0.172\)

\(0.079\)

\({C}_{2}\)

\(0.664\)

\(0.117\)

\(0.168\)

\(0.063\)

\(0.116\)

\(0.063\)

\({C}_{3}\)

\(0.764\)

\(0.096\)

\(0.096\)

\(0.042\)

\(0.097\)

\(0.051\)

\({C}_{4}\)

\(0.544\)

\(0.073\)

\(0.193\)

\(0.069\)

\(0.178\)

\(0.066\)

\({C}_{5}\)

\(0.632\)

\(0.068\)

\(0.102\)

\(0.025\)

\(0.176\)

\(0.061\)

\({C}_{6}\)

\(0.476\)

\(0.106\)

\(0.145\)

\(0.048\)

\(0.249\)

\(0.079\)

\({C}_{7}\)

\(0.743\)

\(0.055\)

\(0.102\)

\(0.044\)

\(0.103\)

\(0.048\)

\({C}_{8}\)

\(0.569\)

\(0.145\)

\(0.216\)

\(0.093\)

\(0.164\)

\(0.093\)

\({C}_{9}\)

\(0.407\)

\(0.138\)

\(0.157\)

\(0.079\)

\(0.299\)

\(0.100\)

\({C}_{10}\)

\(0.601\)

\(0.116\)

\(0.200\)

\(0.062\)

\(0.147\)

\(0.062\)