Research Article

Performance Analysis of Extracted Rule-Base Multivariable Type-2 Self-Organizing Fuzzy Logic Controller Applied to Anesthesia

Table 4

Mean and standard deviation of steady state errors and control stabilities of type-1/interval type-2/zSlice general type-2 SOFLC with results of Wilcoxon signed-rank test.

Controller performanceNoise strengthTypeStage-1 MRStage-1 BPStage-2 MRStage-2 BP

Steady state errors0.110.0152 (±) 0.00951.3083 (±) 1.37800.0622 (±) 0.02293.2880 (±) 2.2323
Interval0.0057 (±) 0.0013a0.1003 (±) 0.0083a0.0058 (±) 0.0010a0.1160 (±) 0.0085a
General0.0022 (±) 0.0007bc0.1517 (±) 0.1277b0.0062 (±) 0.0006b0.0309 (±) 0.0206bc
0.210.0177 (±) 0.00962.4974 (±) 1.34280.0697 (±) 0.01434.1290 (±) 1.6087
Interval0.0049 (±) 0.0019a0.1673 (±) 0.0406a0.0036 (±) 0.0014a0.0559 (±) 0.0115a
General0.0065 (±) 0.0017b0.0253 (±) 0.0189bc0.0098 (±) 0.0011b0.0778 (±) 0.0180b

Control stabilities0.110.0287 (±) 0.00940.6072 (±) 0.35100.0159 (±) 0.00050.6397 (±) 0.1502
Interval0.0096 (±) 0.0009a0.0055 (±) 0.0009a0.0092 (±) 0.0009a0.0052 (±) 0.0006a
General0.0141 (±) 0.0077b0.0221 (±) 0.0390b0.0110 (±) 0.0012b0.0071 (±) 0.0017b
0.210.0251 (±) 0.00890.8879 (±) 0.34050.0194 (±) 0.00361.1542 (±) 0.3877
Interval0.0145 (±) 0.0019a0.0104 (±) 0.0018a0.0149 (±) 0.0018a0.0115 (±) 0.0026a
General0.0183 (±) 0.0021b0.0190 (±) 0.0047b0.0170 (±) 0.0013b0.0167 (±) 0.0035b

Accept hypothesis: interval type-2 SOFLC is better than type-1 SOFLC.
bAccept hypothesis: zSlice general type-2 SOFLC is better than type-1 SOFLC.
cAccept hypothesis: zSlice general type-2 SOFLC is better than interval type-2 SOFLC.