A Fuzzy Post-project Evaluation Approach for Security Video Surveillance System

TL;DR

This paper introduces a fuzzy multi-level evaluation method for assessing security video surveillance systems post-implementation, aiming to improve construction effectiveness and guide future development in smart city contexts.

Contribution

It proposes a novel fuzzy post-project evaluation approach specifically designed for security video surveillance systems, integrating fuzzy theory and multi-level evaluation techniques.

Findings

The approach is practically applicable to real-world surveillance systems.

It effectively identifies success factors and areas for improvement.

The method enhances evaluation accuracy and decision-making quality.

Abstract

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.