Applied Computational Intelligence and Soft Computing

Research Article

Fuzzy Set and Soft Set Theories as Tools for Vocal Risk Diagnosis

Table 2

Input values obtained by fuzzyfication.
PatientsFFVPIAge
0 AT, 0.4 NT0 NT, 0.79 RV0.6 Y, 0 M
0 AT, 0.28 NT0.83 NV, 0 RV0 Y, 0.8 M
0.25 AT, 0 NT0 NV, 0.43 RV0 Y, 0.6 M
0 AT, 0.92 NT0.5 RV, 0.03 AV0 M, 0.5 Y
0 AT, 0.87 NT0.89 NV, 0 RV0 Y, 0.8 M
0 AT, 0.56 NT0.5 RV, 0.03 AV0.4 Y, 0.1 M
0.16 AT, 0 NT0.89 NV, 0 RV0 Y, 0.5 M
0 AT, 0.94 NT0 RV, 0.31 AV0 Y, 0.9 M
0.03 AT, 0.16 NT0 RV, 0.86 AV0 M, 0.8 O
0 AT, 0.94 NT0 RV, 0.31 AV0 Y, 1 M
0.04 AT, 0.14 NT0 NV, 0.86 RV0 Y, 0.6 M
0 AT, 0.85 NT0.89 NV, 0 RV0 M, 0.7 O
0.07 AT, 0.07 NT0 NV, 0.43 RV0.3 M, 0.2 O
0 NT, 0.47 ST0 RV, 0.31 AV0 M, 0.7 O
0.66 AT, 0 NT0 NV, 0.17 AV0.4 M, 0.1 O