Calibration of a fuzzy model estimating fire response time in a tunnel

The biggest challenge in designing a fuzzy system is the original identification and calibration of such a system. For that reason, this paper focuses on the identification stage and, using the example of a linear fire sensor, it suggests a new methodology for performing such early level calibration. This methodology consists of several steps and, after the original design of the system, it uses inputs provided by experts in the field (via surveys and brainstorming) for fine tuning of the system. A physical model is used to simulate the propagation of a fire in a tunnel. The results of such the process are then evaluated on a real world case study from Lochkov tunnel near the city of Prague.