摘要
讨论了基于词语计算的模糊规则生成方法在遗传模糊分类系统中的应用,提出了一种新的遗传模糊分类系统的设计方法,在算法的变异过程中基于词语计算引入4个变异算子,对模糊隶属函数的形状进行调整,扩大算法的搜索空间,实验结果表明算法在保证了系统解释性的同时达到了较好的分类准确率.
The application of generating fuzzy rule with word computing in genetic fuzzy classification system is discussed,and a new method to design genetic fuzzy classification system is proposed. The new algorithm imports four operators in the mutation operation to adjust shape of the membership function of fuzzy partition in order to expand the algorithm’ s search space. Experiment shows that the new system has better correct classification rate while retaining its interpretability.
出处
《北华大学学报（自然科学版）》
CAS
2015年第4期538-541,共4页
Journal of Beihua University（Natural Science）
基金
吉林省教育厅科学技术研究项目(2012126)
吉林省科技厅自然科学基金项目(20140101185JC)
关键词
模糊分类系统
模糊规则
词语计算
fuzzy classification system
fuzzy rule
word computing
