摘要
利用模糊理论与专家系统结合的方法,构建一个二输入二输出的模糊专家系统。系统根据专家知识和经验建立专家知识库,并在运行中可修改、增加、删除知识;采用Mamdani模糊推理算法与语义距离相结合进行模糊推理,得出判断结果。该系统用来控制火灾报警与联动系统,将两个火灾特征信号作为输入量,两个输出判断火灾级别及控制联动设备。经试验证明,该系统比在精确模型控制下有更好的准确性,减少了误报、漏报现象。
Combining fuzzy theory with expert system, a fuzzy expert system with two inputs and two outputs is structured. In this system, an expert knowledge base is build on the basis of knowledge and experience of experts, and some knowledge is modified, added or delet- ed. Fuzzy inference is run via Mamdani algorithm and semantic distance, and conclusion is educed. This system is used for controlling the system of alarm and linkage for fires, and two characteristic signals of fire are two input variables, and two outputs are used for judging fire level and controlling linkage devices. After some tests, it is proved that it is more veracious and has less misinformation and leaks than precise model.
出处
《微计算机信息》
北大核心
2008年第24期117-119,共3页
Control & Automation
基金
国家自然科学基金资助(60674065)项目名称:双级矩阵变换器系统建模及应用关键技术研究
关键词
模糊专家系统
知识库
模糊推理
火灾
消防联动
fuzzy expert system
knowledge base
fuzzy inference
fires
fire control linkage
