## 4 Empirical Analysis
### Analysis of Alternatives from All Respondents  
To evaluate alternatives based on fuzzy TOPSIS, the fuzzy scale was applied to each evaluation score to conduct a triangular fuzzification of the alternatives by evaluation criterion. Table 7 lists the fuzzification results of the 48 valid samples for the alternatives with Equations (5) and (6). \begin{table}
\begin{tabular}{c c c c} \hline
**Evaluation Criteria** & **TFN** & **Weight (Normalized)** & **Rank** \\ \hline Crime prevention effectiveness & (0.10, 0.19, 0.36) & 0.24 & 1 \\ \hline Policy conformity & (0.04, 0.11, 0.29) & 0.09 & 6 \\ \hline Competitiveness with existing services & (0.04, 0.10, 0.28) & 0.08 & 7 \\ \hline Growth in the service sector & (0.06, 0.15, 0.34) & 0.14 & 4 \\ \hline Economic viability & (0.05, 0.13, 0.32) & 0.12 & 5 \\ \hline Field applicability & (0.07, 0.16, 0.35) & 0.16 & 3 \\ \hline Sustainability & (0.07, 0.16, 0.35) & 0.17 & 2 \\ \hline \end{tabular}
\end{table} 
Table 6: Result of fuzzy TOPSIS analysis for evaluation criteria. \begin{table}
\begin{tabular}{c c c c c c c c c} \hline
**Category** & **Sub-Category** & \begin{tabular}{c} **Conformity with the Purpose of** \\ **Crime Prevention** \\ **(Service** \\ **Sub-Element)** \\ \end{tabular} & \begin{tabular}{c} **Service Conformity** \\ **Policy** \\ **Prevention** \\ **Effectiveness** \\ \end{tabular} & \begin{tabular}{c} **Competitiveness** \\ **Conformity** \\ **with Existing Services** \\ \end{tabular} & \begin{tabular}{c} **Competitiveness** \\ **with Existing Service Sector** \\ **(0.7, 3.0, 4.5)** \\ \end{tabular} & \begin{tabular}{c} **Geonomic** \\ **Viability** \\ **(0.7, 3.3, 4.5)** \\ \end{tabular} & \begin{tabular}{c} **Field** \\ **Applicability** \\ \end{tabular} & **Sustainability** \\ \hline \multirow{10}{*}{\begin{tabular}{c} AI/ \\ CCTV \\ \end{tabular} } & CCTV system for AI video analysis for living safety & (0.7, 2.6, 4.5) & (1.5, 3.0, 4.5) & (0.7, 2.6, 4.5) & (0.7, 2.8, 4.5) & (0.7, 2.7, 4.5) & (1.5, 3.0, 4.5) & (0.7, 2.9, 4.5) \\ \cline{2-10}  & AI video analysis for crime prevention & (0.7, 2.9, 4.5) & (0.7, 3.0, 4.5) & (0.7, 3.0, 4.5) & (0.7, 3.3, 4.5) & (0.7, 2.6, 4.5) & (0.7, 2.8, 4.5) & (0.7, 2.9, 4.5) \\ \hline \multirow{10}{*}{\begin{tabular}{c} IoT/ \\ lighting \\ \end{tabular} } & CCTV system analysis for living safety & (0.7, 2.9, 4.5) & (0.7, 3.0, 4.5) & (0.7, 3.0, 4.5) & (0.7, 3.3, 4.5) & (0.7, 2.6, 4.5) & (0.7, 2.8, 4.5) & (0.7, 2.9, 4.5) \\ \cline{2-10}  & AI video analysis for crime prevention & (0.7, 2.9, 4.5) & (0.7, 2.7, 4.5) & (0.7, 2.3, 4.5) & (0.7, 2.5, 4.5) & (0.7, 2.8, 4.5) & (0.7, 2.9, 4.5) \\ \cline{2-10}  & Smart street lights & (0.7, 2.3, 4.5) & (0.7, 2.4, 4.5) & (0.7, 2.1, 4.5) & (0.7, 2.2, 4.5) & (0.7, 2.2, 4.5) & (0.7, 2.4, 4.5) & (0.7, 2.4, 4.5) \\ \hline \multirow{10}{*}{Platform} & Crime monitoring system & (0.7, 2.9, 4.5) & (0.7, 3.1, 4.5) & (0.7, 2.9, 4.5) & (0.7, 3.1, 4.5) & (0.7, 3.0, 4.5) & (0.7, 3.0, 4.5) & (0.7, 3.0, 4.5) \\ \cline{1-1}  & Mobile crime prevention app & (0.7, 2.3, 4.5) & (0.7, 2.5, 4.5) & (0.7, 2.1, 4.5) & (0.7, 2.4, 4.5) & (0.7, 2.4, 4.5) & (0.7, 2.4, 4.5) & (0.7, 2.2, 4.5) \\ \cline{1-1}  & Real-time control & (0.7, 1.7, 4.5) & (0.7, 1.9, 4.5) & (0.7, 1.9, 4.5) & (0.7, 2.3, 4.5) & (0.7, 1.7, 4.5) & (0.7, 1.7, 4.5) & (0.7, 1.6, 4.5) \\ \hline \multirow{10}{*}{\
\begin{tabular}{c} Community \\ \end{tabular} } &
\begin{tabular}{c} AI guide system for village \\ information \\ \end{tabular} & (0.7, 1.6, 3.5) & (0.7, 2.0, 4.5) & (0.7, 1.6, 4.5) & (0.7, 1.6, 4.5) & (0.7, 2.3, 4.5) & (0.7, 1.8, 4.5) \\ \cline{1-1}  & Improved parking environment & (0.7, 2.3, 4.5) & (0.7, 2.5, 4.5) & (0.7, 2.2, 4.5) & (0.7, 2.3, 4.5) & (0.7, 2.5, 4.5) & (0.7, 2.2, 4.5) \\ \cline{1-1}  & Smart safety community & (0.7, 2.3, 4.5) & (0.7, 2.5, 4.5) & (0.7, 2.0, 3.5) & (0.7, 2.2, 4.5) & (0.7, 2.1, 4.5) & (0.7, 2.3, 4.5) & (0.7, 2.2, 4.5) \\ \hline \end{tabular}
\end{table} 
Table 7: Triangular fuzzification to evaluate alternatives based on fuzzy TOPSIS.