北华大学学报（自然科学版）2016，Vol.17Issue(5)：689-692,4.DOI:10.11713/j.issn.1009-4822.2016.05.029
1种基于密歇根编码的模糊分类系统设计方法
A Method of Designing Fuzzy Classification System Based on Michigan Encoding
摘要
Abstract
Considering the tradeoff between the accuracy and the interpretation of the fuzzy system, a design method of fuzzy classification system based on genetic algorithm is proposed. The new algorithm in consideration of fuzzy classification system interpretability,a complete set of rules is constructed based on the sample data,and the Michigan encoding of rule sets and membership function parameters were optimized in ensuring the interpretative system and improving the accuracy of the system. Simulation results verify the effectiveness of the proposed method.关键词
模糊分类系统/模糊规则/遗传算法Key words
fuzzy classification system/fuzzy rules/genetic algorithm分类
信息技术与安全科学引用本文复制引用
胡智鹏,马铭..1种基于密歇根编码的模糊分类系统设计方法[J].北华大学学报（自然科学版）,2016,17(5):689-692,4.基金项目
吉林省教育厅科学技术研究项目(2012126) （2012126）
吉林省科技厅自然科学基金项目(20140101185JC) （20140101185JC）
