| 1种基于密歇根编码的模糊分类系统设计方法 |
| |
| 引用本文： | 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. |
| |
| 作者姓名： | 胡智鹏 马铭 |
| |
| 作者单位： | 北华大学信息技术与传媒学院,吉林 吉林,132013;北华大学信息技术与传媒学院,吉林 吉林,132013 |
| |
| 基金项目： | 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) |
| |
| 摘 要： | 兼顾模糊系统精确性和解释性,提出1种基于遗传算法的模糊分类系统设计方法.该算法在考虑模糊分类系统解释性的前提下,基于数据样本构建完整的规则集,并采用密歇根编码方式优化规则集和隶属函数参数,在保证系统解释性的同时提高了系统的精确性,仿真实验结果验证了该方法的有效性.
|
| 关 键 词： | 模糊分类系统 模糊规则 遗传算法 |
A Method of Designing Fuzzy Classification System Based on Michigan Encoding |
| |
| Hu Zhipeng,Ma Ming.A Method of Designing Fuzzy Classification System Based on Michigan Encoding[J].Journal of Beihua University(Natural Science),2016,17(5):689-692. |
| |
| Authors: | Hu Zhipeng Ma Ming |
| |
| 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. |
| |
| Keywords: | fuzzy classification system fuzzy rules genetic algorithm |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
