Table 5 Pattern recognition results by different IFSMs for example 4.
IFSMs | Ref | \((M_1,N)\) | \((M_2,N)\) | \((M_3,N)\) | Selection | DOC | Comment |
|---|---|---|---|---|---|---|---|
\(S_H\) | Hong and Kim27 | 0.783 | 0.783 | 0.850 | \(M_3\) | 0.133 | Correctly classified |
\(S_{DC}\) | Dengfeng and Chuntian29 | 0.740 | 0.787 | 0.844 | \(M_3\) | 0.161 | Correctly classified |
\(S_M\) | Mitchell30 | 0.538 | 0.538 | 0.613 | \(M_3\) | 0.151 | Correctly classified |
\(S_{WX}\) | Wang and Xin32 | 0.758 | 0.758 | 0.842 | \(M_3\) | 0.167 | Correctly classified |
\(S_{VS}\) | Vlachos and Sergiadis37 | NaN | NaN | NaN | - | NA | Failed to classify |
\(S_{HY}^{1}\) | Hung and Yang35 | 0.625 | 0.615 | 0.702 | \(M_3\) | 0.164 | Correctly classified |
\(S_{HY}^{2}\) | Hung and Yang35 | 0.783 | 0.783 | 0.850 | \(M_3\) | 0.133 | Correctly classified |
\(S_{HY}^{3}\) | Hung and Yang35 | 0.198 | 0.202 | 0.233 | \(M_3\) | 0.067 | Correctly classified |
\(S_{HY}^{4}\) | Hung and Yang35 | 0.745 | 0.755 | 0.824 | \(M_3\) | 0.147 | Correctly classified |
\(S_{YC}\) | Yang and Chiclana38 | 0.704 | 0.717 | 0.777 | \(M_3\) | 0.133 | Correctly classified |
\(S_{Y}\) | Ye39 | 0.935 | 0.952 | 0.972 | \(M_3\) | 0.072 | Correctly classified |
\(S_{BA}\) | Boran and Akay40 | 0.731 | 0.731 | 0.776 | \(M_3\) | 0.090 | Correctly classified |
\(S_{Y1}\) | Ye41 | 0.882 | 0.896 | 0.963 | \(M_3\) | 0.149 | Correctly classified |
\(S_{Y2}\) | Ye41 | 0.882 | 0.896 | 0.963 | \(M_3\) | 0.149 | Correctly classify |
\(S_{X}\) | Xiao42 | NaN | NaN | NaN | - | NA | Failed to classified |
\(S_{MP}\) | Mahanta and Panda43 | 0.749 | 0.754 | 0.822 | \(M_3\) | 0.142 | Correctly classified |
\(S_{P}^{1}\) | Patel et al.44 | 0.920 | 0.934 | 0.972 | \(M_3\) | 0.090 | Correctly classified |
\(S_{G}\) | Gohain et al.57 | 0.781 | 0.782 | 0.848 | \(M_3\) | 0.133 | Correctly classified |
\(S_{Z}\) | Zeng et al.46 | 0.891 | 0.883 | 0.911 | \(M_3\) | 0.049 | Correctly classified |
\(S_{P}^2\) | Patel et al.6 | 0.991 | 0.996 | 0.999 | \(M_3\) | 0.011 | Correctly classified |
\(S_{J}\) | Jiang et al.3 | 0.843 | 0.844 | 0.893 | \(M_3\) | 0.100 | Correctly classified |
\(S_{D}\) | Dutta et al47 | 0.633 | 0.608 | 0.697 | \(M_3\) | 0.153 | Correctly classified |
\(S_A\) | Proposed IFSM | 0.733 | 0.719 | 0.810 | \(M_3\) | 0.169 | Correctly classified |
