## 5 Evaluation in Window Analysis and Clustering Algorithms
### Evaluation in the Window Analysis Method
#### 5.1.2. Discussion in Window Analysis-FDH, BCC and CCR Models
\begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline  & **2014** & **2015** & **2016** & **2017** & **2018** & **2019** \\ \hline Company 8 & 1.00 & 1.00 & 0.94 & 0.85 & 1.00 & 1.00 \\ Company 9 & 1.00 & 1.00 & 1.00 & 0.87 & 1.00 & 1.00 \\ Company 10 & 0.92 & 1.00 & 0.96 & 0.98 & 1.00 & 1.00 \\ Company 11 & 1.00 & 0.95 & 1.00 & 0.86 & 1.00 & 1.00 \\ Company 12 & 1.00 & 1.00 & 0.99 & 0.98 & 1.00 & 1.00 \\ Company 13 & 1.00 & 1.00 & 1.00 & 0.96 & 1.00 & 1.00 \\ Company 14 & 1.00 & 0.93 & 0.98 & 0.95 & 1.00 & 1.00 \\ Company 15 & 1.00 & 1.00 & 0.91 & 0.96 & 1.00 & 1.00 \\ Company 16 & 1.00 & 0.99 & 1.00 & 1.00 & 1.00 & 1.00 \\ Company 17 & 1.00 & 1.00 & 0.87 & 1.00 & 0.92 & 0.96 \\ Company 18 & 1.00 & 0.93 & 0.97 & 0.92 & 1.00 & 0.85 \\ Company 19 & 0.95 & 1.00 & 1.00 & 1.00 & 1.00 & 1.00 \\ Company 20 & 1.00 & 0.87 & 1.00 & 0.93 & 1.00 & 1.00 \\ Company 21 & 1.00 & 0.93 & 0.88 & 0.85 & 1.00 & 1.00 \\ Company 22 & 1.00 & 1.00 & 1.00 & 1.00 & 1.00 & 1.00 \\ Company 23 & 0.92 & 0.96 & 1.00 & 1.00 & 1.00 & 1.00 \\ Company 24 & 1.00 & 0.93 & 0.86 & 0.92 & 1.00 & 1.00 \\ \hline \hline \end{tabular}
\end{table} 
Table 7: _Cont._  
\begin{table}
\begin{tabular}{c c c c c c c c c c c c c c} \hline \hline
**Windows** & **2014** & **2015** & **2016** & **2017** & **2018** & **2019** & **Avg. ** & **Windows** & **2014** & **2015** & **2016** & **2017** & **2018** & **2019** & **Avg. ** \\ \hline
1 st window & 1.000 & 1.000 & 0.960 & & & 0.986 & 1 st window & 1.000 & 1.000 & 1.000 & & & 1.000 \\
2 nd window & & 1.000 & 0.961 & 0.976 & & 0.978 & 2 nd window & & 1.000 & 1.000 & 1.000 & & & 1.000 \\
3 rd window & & 0.907 & 0.804 & 1.000 & 0.903 & 3 rd window & & & 1.000 & 0.880 & 1.000 & & 0.959 \\
4 th window & & & 0.803 & 1.000 & 1.000 & 0.933 & 4 th window & & & 0.986 & 1.000 & 1.000 & 0.994 \\ Avg. for 1 st & 1.000 & 1.000 & 0.942 & 0.861 & 1.000 & 1.000 & & Avg. for 13 th & 1.000 & 1.000 & 1.000 & 0.954 & 1.000 & 1.000 \\ \hline
1 st window & 1.000 & 0.934 & 1.000 & & & 0.977 & 1 st window & 1.000 & 0.858 & 0.939 & & & 0.931 \\
2 nd window & & 0.991 & 1.000 & 1.000 & & 0.996 & 2 nd window & & 0.996 & 1.000 & 1.000 & & 0.999 \\
3 rd window & & 1.000 & 0.924 & 1.000 & & 0.974 & 3 rd window & & 1.000 & 0.915 & 1.000 & & 0.971 \\
4 th window & & & 0.985 & 1.000 & 0.980 & 0.980 & 4 th window & & & 0.930 & 1.000 & 1.000 & 0.976 \\ Avg. for 2 nd & 1.000 & 0.962 & 1.000 & 0.960 & 1.000 & 0.980 & Avg. for 14 th & 1.000 & 0.926 & 0.979 & 0.947 & 1.000 & 1.000 \\ \hline
1 st window & 0.891 & 0.935 & 1.000 & & & 0.941 & 1 st window & 1.000 & 1.000 & 0.856 & & & 0.951 \\
2 nd window & & 0.991 & 1.000 & 1.000 & & 0.998 & 2 nd window & & 1.000 & 0.884 & 0.870 & & 0.917 \\
3 rd window & & & 1.000 & 0.924 & 1.000 & 0.943 & 3 rd window & & & 1.000 & 1.000 & 1.000 & 1.000 \\
4 th window & & & 0.985 & 1.000 & 0.980 & 0.980 & 4 th window & & & 1.000 & 1.000 & 1.000 & 1.000 \\ Avg. for 3 rd & 0.891 & 0.962 & 1.000 & 0.968 & 1.000 & 0.980 & Avg. for 15 th & 1.000 & 1.000 & 0.912 & 0.956 & 1.000 & 1.000 \\ \hline
1 st window & 1.000 & 0.890 & 0.864 & & & 0.917 & 1 st window & 1.000 & 0.977 & 1.000 & & & 0.991 \\
2 nd window & & 1.000 & 0.967 & 0.964 & & 0.944 & 2 nd window & & 1.000 & 1.000 & 1.000 & & 1.000 \\
3 rd window & & & 0  
Based on the BCC model for Figure 7:  
* 22 nd Company has the highest efficiency score, with an efficiency score of 1. * 16 th Company has the second-highest efficiency score with an efficiency score of 0.996. * 19 th Company has the third-highest efficiency score with an efficiency score of 0.993. * 6 th Company has the lowest efficiency score, with an efficiency score of 0.911. Based on the BCC model for Table 9:  
* The 22 nd company has the highest efficiency score with an efficiency score of 1 for all windows. * 10 th (0.955, 0.958, 0.991, 1), 19 th (0.983, 0.996, 1, 1), and 23 rd (0.958, 0.984, 1, 1) companies have an ascending trend of efficiency from the beginning (1 st window) to the end (4 th window).