西安电子科技大学学报（自然科学版）2017，Vol.44Issue(2)：81-87,7.DOI:10.3969/j.issn.1001-2400.2017.02.015
规则数确定的自适应模糊分类器
Adaptive fuzzy classifier with a fixed number of fuzzy rules
摘要
Abstract
The adaptive fuzzy system has many advantages over the neural network.It can be used to design a fuzzy classifier.However, there is the "Dimension Calamity" with the number of inputs increasing in the adaptive fuzzy system.In this paper, an adaptive fuzzy classifier with a fixed number of fuzzy rules is proposed.This classifier is combined by several fuzzy reasoning machines so that one fuzzy reasoning machine recognizes only one class.Every fuzzy reasoning machine includes two "If-Then" fuzzy rules.The total fuzzy rules number of the classifier is confirmed by the number of classes of the patterns being classified.The classifier uses the "Error Back-Propagation Training" arithmetic as the learning arithmetic.Compared with the BP neural network classifier, the new classifier and BP neural network classifier are both tested by the famous iris dataset and Ripley`s synthetic dataset.It is proved that the new classifier has a good classification ability and learning ability even if the data have been polluted.关键词
模糊逻辑/模糊推理/模糊规则/分类/适应模糊分类器Key words
fuzzy logic/fuzzy reasoning/fuzzy rule/classification/adaptive fuzzy classifier分类
信息技术与安全科学引用本文复制引用
石绍应,王小谟,曹晨,张靖..规则数确定的自适应模糊分类器[J].西安电子科技大学学报（自然科学版）,2017,44(2):81-87,7.基金项目
国家部委预研基金资助项目(51****20**3) （51****20**3）
