[1] 张小峰, 赵永升, 刘智云, 等. 分类问题中连续属性的离散化方法[J]. 兰州理工大学学报, 2007, 33(1):104-106. (Zhang Xiaofeng, Zhao Yongsheng, Liu Zhiyun, et al. Discretization of Continuous Attributes in Classification Problems [J]. Journal of Lanzhou University of Technology, 2007, 33(1): 104-106.)
[2] Kennedy J, Eberhart R.Particle Swarm Optimization [C]. In: Proceedings of IEEE International Conference on Neural Networks.1995: 1942-1948.
[3] 陈秉正, 韩春鹏. 归纳式学习中连续型数据的区间划分问题[J]. 系统工程理论与实践, 2001, 21(4): 1-7, 18. (Chen Bingzheng, Han Chunpeng. Discretization for Inductive Learning from Continuous Sample Data [J]. Systems Engineering-Theory & Practice, 2001, 21(4): 1-7, 18.)
[4] 陈果. 基于遗传算法的决策表连续属性离散化方法[J]. 仪器仪表学报, 2007, 28(9): 1700-1705. (Chen Guo. Discretization Method of Continuous Attributes in Decision Table Based on Genetic Algorithm [J]. Chinese Journal of Scientific Instrument, 2007, 28(9): 1700-1705.)
[5] Baraldi A, Blonda P. A Survey of Fuzzy Clustering Algorithms for Pattern Recognition [J]. IEEE Transactions on System, Man and Cybernetics, 1999, 29(6): 778-785.
[6] 王熙照, 孙娟, 杨宏伟, 等. 模糊决策树算法与清晰决策树算法的比较研究[J].计算机工程与应用, 2003(21): 72-75, 99. (Wang Xizhao, Sun Juan, Yang Hongwei, et al. A Comparison Between Fuzzy and Crisp Decision Trees [J]. Computer Engineering and Applications, 2003(21): 72-75, 99.)
[7] 孙娟, 王熙照.自适应模糊决策树算法[J]. 计算机工程与设计, 2013, 34(2): 649-653. (Sun Juan, Wang Xizhao.Adaptive Fuzzy Decision Tree Algorithms [J]. Computer Engineering and Design, 2013, 34(2): 649-653.)
[8] 邹晓峰, 陆建江, 宋自林.基于模糊分类关联规则的分类系统[J]. 计算机研究与发展, 2003, 40(5): 651-656. (Zou Xiaofeng, Lu Jianjiang, Song Zilin. A Classification System Based on Fuzzy Class Association Rules [J]. Journal of Computer Research and Development, 2003, 40(5): 651-656.)
[9] 崔建, 李强, 刘勇. 基于模糊分类关联规则的支持向量机分类器生成方法[J]. 计算机应用, 2011, 31(5): 1348-1350, 1366. (Cui Jian, Li Qiang, Liu Yong. Method of SVM Classifier Generation Based on Fuzzy Classification Association Rule [J]. Journal of Computer Applications, 2011, 31(5): 1348-1350, 1366.)
[10] Takagi H. Fusion Technology of Fuzzy Theory and Neural Networks Survey and Future Directions [C]. In: Proceedings of International Conference on Fuzzy Logic and Neural Networks, Japan.1990: 13-26.
[11] 张凯, 钱锋, 刘漫丹. 模糊神经网络技术综述[J]. 信息与控制, 2003, 32(5): 431-435. (Zhang Kai, Qian Feng, Liu Mandan.A Survey on Fuzzy Neural Network Technology [J]. Information and Control, 2003, 32(5): 431-435.)
[12] 杨纶标, 高英仪, 凌卫新. 模糊数学原理及应用[M]. 5版. 广州: 华南理工大学出版社, 2011. (Yang Lunbiao, Gao Yingyi, Ling Weixin. Fuzzy Mathematics Theory and Application [M]. The 5th Edition. Guangzhou: South China University of Technology Press, 2011.)
[13] 谢季坚, 刘承平. 模糊数学方法及其应用[M]. 武汉: 华中科技大学出版社, 2005: 31-36. (Xie Lijian, Liu Chengping. Fuzzy Mathematics Method and Application [M]. Wuhan: Huazhong University of Science & Technology Press, 2005.)
[14] 刘玲, 肖嵘. 连续属性离散化算法SHD及其改进[J]. 计算机工程与应用, 2001, 37(9): 97-99. (Liu Ling, Xiao Rong. The Discretization of Continuous Feature Algorithm SHD and Its Improvement [J]. Computer Engineering and Applications, 2001, 37(9): 97-99.)
[15] Wong A K C, Chiu D K Y. Synthesizing Statistical Knowledge from Incomplete Mixed-mode Data [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1987, 9(6): 796-805.
[16] Stashuk D W, Naphan R K. Probabilistic Inference Base Classification Applied to Myoelectric Signal Decomposition [J]. IEEE Transactions on Biomedical Engineering, 1992, 39(4): 346-355.