摘要
汽车运行过程中的动态参数携带了汽车技术状态的丰富信息,这些参数在评价汽车技术状态时,存在着一系列不确定性的现象。为解决这类问题,我们提出了借助模糊数学的方法,采用多现象、多因素综合推理,在实际运用中,利用该方法能够得到比较确切的结果。
During automobile running, many dynamic parameters of automotive engineering information are shown.. These parameters are difficult for evaluating automotive engineering state . For solving these problems, we utilize a kind of fuzzying mathematics means .This means adopts much phenomena,, multifactor synthetic reasoning theory . In practice, this means can get satisfactory result .
出处
《计算机与数字工程》
2006年第7期176-178,共3页
Computer & Digital Engineering
关键词
模糊推理
故障诊断
汽车诊断
fuzzy reasoning , fault diagnosis, automobile diagnosis