## 6 Example Analysis
### Single-Level Fuzzy Comprehensive Evaluation
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline \multirow{2}{*}{**Electricity**} & \multicolumn{5}{c}{**Fuzzy Evaluation Value**} \\ \cline{2-5}  & \(\mathbf{B_{1}}\) & \(\mathbf{B_{2}}\) & \(\mathbf{B_{3}}\) & \(\mathbf{B_{4}}\) & \(\mathbf{B_{5}}\) \\ \hline \multirow{4}{*}{A} & 0.0288 & 0 & 0 & 0 & 0.1714 \\  & 0.2298 & 0.2839 & 0.162 & 0.4496 & 0.1999 \\  & 0.2555 & 0.5726 & 0.6117 & 0.4997 & 0.5996 \\  & 0.2817 & 0.1276 & 0.2013 & 0.05 & 0.0285 \\  & 0.2014 & 0 & 0.0234 & 0 & 0 \\ \hline \multirow{4}{*}{B} & 0 & 0 & 0 & 0 & 0.1714 \\  & 0.1367 & 0 & 0.0234 & 0.1499 & 0.3998 \\  & 0.6589 & 0.1903 & 0.3851 & 0.4997 & 0.2284 \\  & 0.194 & 0.4793 & 0.5243 & 0.3497 & 0.1999 \\  & 0.0086 & 0.3145 & 0.0656 & 0 & 0 \\ \hline \multirow{4}{*}{C} & 0 & 0 & 0 & 0.1499 & 0.6855 \\  & 0.0947 & 0 & 0 & 0.5496 & 0.1999 \\  & 0.3647 & 0.1109 & 0.1107 & 0.2498 & 0.0855 \\  & 0.3128 & 0.3191 & 0.4678 & 0.05 & 0.0285 \\  & 0.2251 & 0.5512 & 0.4198 & 0 & 0 \\ \hline \multirow{4}{*}{D} & 0.1995 & 0.1268 & 0.1484 & 0 & 0.3713 \\  & 0.4542 & 0.2938 & 0.4588 & 0.1999 & 0.3713 \\  & 0.3436 & 0.3824 & 0.3399 & 0.5996 & 0.2569 \\  & 0 & 0.1633 & 0.0513 & 0.1999 & 0 \\  & 0 & 0.0178 & 0 & 0 & 0 \\ \hline \multirow{4}{*}{E} & 0.335 & 0.1625 & 0.1358 & 0 & 0.3998 \\  & 0.457 & 0.25 & 0.1484 & 0.2998 & 0.5996 \\  & 0.1788 & 0.261 & 0.4495 & 0.5996 & 0 \\  & 0.0265 & 0.1035 & 0.2133 & 0.1 & 0 \\  & 0 & 0.0513 & 0 & 0 \\ \hline \multirow{4}{*}{F} & 0 & 0 & 0 & 0 & 0 \\  & 0.0172 & 0.0634 & 0.0468 & 0.1499 & 0 \\  & 0.1384 & 0.2081 & 0.2546 & 0.5496 & 0.057 \\  & 0.3611 & 0.4337 & 0.5207 & 0.2998 & 0.5711 \\  & 0.4807 & 0.2788 & 0.1763 & 0 & 0.3713 \\ \hline \multirow{4}{*}{G} & 0.1722 & 0 & 0.0594 & 0.05 & 0 \\  & 0.4425 & 0.2923 & 0.2296 & 0.7495 & 0 \\  & 0.3113 & 0.4615 & 0.2367 & 0.1999 & 0.057 \\  & 0.0713 & 0.2304 & 0.276 & 0 & 0.5711 \\  & 0 & 0 & 0.1967 & 0 & 0.3713 \\ \hline \multirow{4}{*}{H} & 0.0288 & 0 & 0 & 0 & 0.1714 \\  & 0.4858 & 0.386 & 0 & 0.1499 & 0.714 \\ \cline{1-1}  & 0.4562 & 0.4749 & 0.5497 & 0.5496 & 0.114 \\ \cline{1-1}  & 0.0265 & 0.1232 & 0.4487 & 0.2998 & 0 \\ \cline{1-1}  & 0 & 0 & 0 & 0 & 0 \\ \hline \multirow{4}{*}{J} & 0.1391 & 0.3106 & 0 & 0 & 0.6855 \\  & 0.4413 & 0.207 & 0.4105 & 0.05 & 0.1999 \\ \cline{1-1}  & 0.166 & 0.1174 & 0.2744 & 0.5996 & 0.0855 \\ \cline{1-1}  & 0.1882 & 0.3491 & 0.248 & 0.3497 & 0.0285 \\ \cline{1-1}  & 0.0627 & 0 & 0.0656 & 0 & 0 \\ \hline \multirow{4}{*}{H} & 0.0288 & 0 & 0.0747 & 0 & 0.5141 \\ \cline{1-1}  & 0.3019 & 0.6926 & 0.3429 & 0.1999 & 0.3998 \\ \cline{1-1}  & 0.2669 & 0.2023 & 0.3902 & 0.5996 & 0.057 \\ \cline{1-1}  & 0.1488 & 0.0535 & 0.1905 & 0.1999 & 0.0285 \\ \cline{1-1}  & 0.2509 & 0.0357 & 0 & 0 & 0 \\ \hline \hline \end{tabular}
\end{table} 
Table 8: Single-level fuzzy comprehensive evaluation results. One can observe that the single-level fuzzy comprehensive evaluation can analyze the energy saving and emission reduction effects for the five electricity retailers in the aspects of market transactions, technical means, integrated energy services, management system and social responsibilities. On the basis of the principle of maximum membership degree, the evaluation levels of energy saving and emission reduction effects for electricity retailer A to J from a single dimension are shown in Table 9.