摘要
根据模糊推理理论,提出了建立模式分类模糊决策规则的方法,该方法可适于各种非线性决策面的模式分类. 通过仿真试验证明了该方法的有效性.
A new algorithm based on fuzzy inference theory is proposed for generating decision rules of pattern classification, which can define a complex nonlinear decision boundary. The effectiveness of the algorithm is demonstrated by a simulation experiment.
出处
《上海理工大学学报》
CAS
北大核心
2002年第1期57-59,共3页
Journal of University of Shanghai For Science and Technology
关键词
模式识别
模糊推理
非线性分类器
pattern recognition
fuzzy inference
nonlinear classifier
