## 4 Results and Discussion
### Sample Test Results of the Comprehensive Evaluation Model
#### 4.4.1 Fuzzy Evaluation  
The score matrix shown in Table 11 was obtained after the evaluation of the third-level indexes, and the scoring results were normalized. In the first row of the matrix, 90% of the respondents thought that \"intelligent strategic thinking\" was at the leading level, 10% thought that the index was at the optimization level, 0% thought that the index was at the integration level, 0% thought that the index was at the specification level, and 0% thought that the index was at the planning level. Taking the \"intelligence strategy (ISA)\" as an example, its fuzzy comprehensive evaluation matrix was as follows:  
\[R_{11}= \begin{bmatrix}0&0&0&0.1&0.9\\ 0&0&0.1&0.8&0.1\\ 0&0&0.1&0.8&0.1\\ \end{bmatrix} \]  
The weight matrix was as follows:  
\[W_{11}= \begin{bmatrix}0.1136&0.3193&0.5672\end{bmatrix} \]  
The fuzzy comprehensive evaluation matrix for intelligence strategy was obtained:  
\[B_{11} =W_{11}\cdot R_{11}= \begin{bmatrix}0.1136&0.3193&0.5672\end{bmatrix}  \cdot \begin{bmatrix}0&0&0&0.1&0.9\\ 0&0&0.1&0.8&0.1\\ 0&0&0.1&0.8&0.1\\ \end{bmatrix} \]According to the above steps, the fuzzy comprehensive evaluation matrix was calculated successively, and the fuzzy evaluation matrix of the first-level index was constructed:  
\[R_{1} = \begin{bmatrix}0.0000&0.0000&0.0886&0.7205&0.1909\end{bmatrix} \] \[R_{2} = \begin{bmatrix}0.0&0.0&0.0&0.1&0.9\end{bmatrix} \] \[R_{3} = \begin{bmatrix}0.0000&0.1000&0.4567&0.4433&0.0000\\ 0.0000&0.0000&0.1414&0.3897&0.4689\\ 0.0000&0.0000&0.1000&0.2613&0.6387\end{bmatrix} \] \[R_{4} = \begin{bmatrix}0.0000&0.1000&0.5824&0.2636&0.1540\\ 0.0000&0.0000&0.1000&0.8000\end{bmatrix} \]  
Taking \"intelligent business operations (IB)\" as an example, the fuzzy evaluation matrix was calculated. The weight matrix was as follows:  
\[W_{3}= \begin{bmatrix}0.1639&0.6492&0.1869\end{bmatrix} \]  
The comprehensive fuzzy evaluation results were as follows:  
\[B_{3} =\begin{array}{cc}W_{3}\cdot R_{3}= \begin{bmatrix}0.1639&0.6492&0.1869 \end{bmatrix} \cdot \begin{bmatrix}0.0000&0.1000&0.4567&0.4433&0.0000\\ 0.0000&0.0000&0.1414&0.3897&0.4689\\ 0.0000&0.0000&0.1000&0.2613&0.6387\end{bmatrix} \] \[= \begin{bmatrix}0.0000&0.0164&0.1853&0.3745&0.4238\end{bmatrix} \]  
The fuzzy evaluation matrix of other first-level indexes was further calculated using the above calculation method, and the fuzzy evaluation vectors of the above dimensions \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multirow{2}{*}{**Second-Level Index**} & \multirow{2}{*}{**Third-Level Index**} & \multicolumn{5}{c}{**Comment Set**} & \\  & & \(V_{1}\) & \(V_{2}\) & \(V_{3}\) & \(V_{4}\) & \(V_{5}\) \\ \hline \multirow{3}{*}{ISA} & ISA1 & 0.0 & 0.0 & 0.0 & 0.1 & 0.9 \\  & ISA2 & 0.0 & 0.0 & 0.1 & 0.8 & 0.1 \\  & ISA3 & 0.0 & 0.0 & 0.1 & 0.8 & 0.1 \\ \hline \multirow{3}{*}{ITA} & ITA1 & 0.0 & 0.0 & 0.0 & 0.1 & 0.9 \\  & ITA2 & 0.0 & 0.0 & 0.0 & 0.1 & 0.9 \\  & ITA3 & 0.0 & 0.0 & 0.0 & 0.1 & 0.9 \\ \hline \multirow{3}{*}{IBA} & IBA1 & 0.0 & 0.1 & 0.8 & 0.1 & 0.0 \\  & IBA2 & 0.0 & 0.1 & 0.2 & 0.7 & 0.0 \\ \hline \multirow{3}{*}{IBB} & IBB1 & 0.0 & 0.0 & 0.1 & 0.1 & 0.8 \\  & IBB2 & 0.0 & 0.0 & 0.1 & 0.1 & 0.8 \\  & IBB3 & 0.0 & 0.0 & 0.2 & 0.8 & 0.0 \\  & IBB4 & 0.0 & 0.0 & 0.2 & 0.8 & 0.0 \\  & IBB5 & 0.0 & 0.0 & 0.1 & 0.1 & 0.8 \\ \hline \multirow{3}{*}{IBC} & IBC1 & 0.0 & 0.0 & 0.1 & 0.1 & 0.8 \\  & IBC2 & 0.0 & 0.0 & 0.1 & 0.8 & 0.1 \\ \hline \multirow{3}{*}{IOA} & IOA1 & 0.0 & 0.0 & 0.1 & 0.8 & 0.1 \\  & IOA2 & 0.0 & 0.0 & 0.9 & 0.1 & 0.0 \\ \cline{1-1}  & IOA3 & 0.0 & 0.0 & 0.9 & 0.1 & 0.0 \\ \cline{1-1}  & IOA4 & 0.0 & 0.0 & 0.8 & 0.2 & 0.0 \\ \cline{1-1}  & IOA5 & 0.0 & 0.0 & 0.1 & 0.1 & 0.8 \\ \hline \multirow{3}{*}{IOB} & IOB1 & 0.0 & 0.0 & 0.1 & 0.1 & 0.8 \\ \hline \hline \end{tabular}
\end{table} 
Table 11: The score matrix for Enterprise Q.  
were further integrated to construct the comprehensive evaluation fuzzy matrix of the target layer:  
\[R=