Decision Rule of Fire Detection Method Based on Rough Set and Evidence Theory

To build an early fire alarm system, an important approach to detect whether a fire occurs is monitoring the fire characteristics parameters. Multi-sensor data fusion is the key technology to process the data collected by the sensors. In this paper, we present a data fusion method to process the data collected by distributed fire detectors. The method is based on rough sets and evidence theory. We explain the method and use an example to demonstrate its decision process under the Chinese standard on raked fire SH4 and smoldering fire SH1. The results prove that the method is fault-tolerant and stable.