火灾自动报警系统通过对传感器采集火情信息，采用多传感器信息融合技术，使用智能识别算法实现对火灾的监测。
FAS collect fire information through sensors, using multi-sensor information fusion technology, and use intelligent identification algorithm for fire monitoring.
数据融合方法采用经典的自适应加权融合估计算法，配合智能判别技术，增强了火灾特征识别的可靠性。
Combined with intelligent recognition technology, data fusion technology adopts the classical self-adapting weighting fusion algorithm to increase the reliability of fire characteristics recognition.
粗糙集理论最初在人工智能的某些分支，例如推理，自动分类，模式识别，学习算法等的研究中是很重要的。
The rough set concept can be of some importance, primarily in some branches of artificial intelligence, such as reasoning, automatic classification, pattern recognition, learning algorithms, etc.
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