  Video surveillance is an essential component of the public security system.
The security video surveillance system is a powerful means to prevent violence
and crimes, and it is closely coupled with the construction of smart cities. A
post-project evaluation is an evaluation of a project's actions and outcomes
after its completion. Post-project evaluation can scientifically and
objectively evaluate the construction effectiveness of video surveillance
system at a certain stage. Utilizing post-project evaluation can find out the
causes of success or failure to make recommendations for the construction of a
security video surveillance system in the next stage. Therefore, we propose a
fuzzy post-project evaluation approach for the security video surveillance
system in a real-world community. The fuzzy theory and fuzzy multi-level
evaluation method are applied. The evaluation result demonstrates that the
proposed approach is practically applicable to real-world security video
surveillance systems.
