## 4 Case Study  
### Overview  
With the evolution of information technology, the Internet serves as an invisible bridge, facilitating universal access to diverse information anytime and anywhere while promoting new business models and economic growth. Network technology helps the construction industry improve work efficiency, reduce costs, and promote digital transformation. To illustrate the proposed approach, this paper utilized an illustrative example of construction industry Internet platform selection (adapted from [PERSON] et al. [41]) to test and confirm the rationality and accuracy of the proposed novel FAHP-based method.  
The development trajectory of China's Internet is divided into three development stages, short-term, medium-term, and long-term development, providing a framework for the development policy of construction industry Internet platforms. The evaluation outcomes derived from the abovementioned construction industry Internet platform selection serve as a benchmark for the establishment sequence of Asian construction industry Internet platforms. Comprising experts from different fields, the construction industry Internet platform selection evaluation team consists of four experts (E1, E2, E3, and E4). The construction industry Internet platform selection includes four evaluation criteria and twenty-six possible alternatives. The four evaluation criteria include technology maturity (TM), urgency of need (UN), policy feasibility (PF), and completeness of standard (CS), all of which belong to performance indicators. The twenty-six possible alternatives include geography investigation platform (P1), synergism design platform (P2), building information modeling platform (P3), digital entrustment platform (P4), real-name registration system for labor (P5), supply procurement platform (P6), machine administration platform (P7), human-machine interaction platform (P8), resource administration platform (P9), component management platform (P10), smart site management platform (P11), smart site supervision platform (P12), information consolidation platform (P13), examination and detection platform (P14), building waste management platform (P15), green building platform (P16), digital twin running platform (P17), intelligent decision-making platform (P18), energy surveillance platform (P19), adviser platform (P20), cost estimation administration platform (P21), business approval platform (P22), bid administration platform (P23), integrity monitoring platform (P24), supply chain administration platform (P25), and financial transaction platform (P26).  
Based on the four evaluation criteria, each expert utilized a seven-point Likert-type questionnaire, where Level 1 = not important, Level 2 = very slightly important, Level 3 = slightly important, Level 4 = moderately important, Level 5 = important, Level 6 = strongly important, and Level 7 = extremely important. This scale was used to rate 26 construction industry Internet platforms. Table 3 outlines the rating results. The symbol ** indicates non-existent information.  
\begin{table}
\begin{tabular}{c c c c c c c c c c c} \hline \hline
**Platform** & **Expert** & **TM** & **UN** & **PF** & **CS** & **Platform** & **Expert** & **TM** & **UN** & **PF** & **CS** \\ \hline \multirow{4}{*}{P1} & E1 & 4 & 4 & 1 & 2 & & E1 & 4 & 5 & 6 & 2 \\  & E2 & 3 & 3 & 3 & 1 & & E2 & 3 & 6 & 5 & 2 \\  & E3 & 5 & 3 & 2 & 3 & & E3 & 4 & 4 & 4 & 3 \\  & E4 & 4 & 2 & 1 & 2 & & E4 & 1 & 5 & 3 & 3 \\ \hline \hline \end{tabular}
\end{table}
Table 3: Four experts selected evaluation scores for 26 construction industry Internet platforms.  
Based on their experience, each expert employed the TFN to determine the pairwise comparison matrix of the evaluation criterion, which is given in Table 4.  
\begin{table}
\begin{tabular}{c c c c c c c c c c c c} \hline \hline