[1] |
Pawlak Z. Rough sets[J]. International Journal of Information and Computer Sciences, 1982, 11(5):431356.
|
[2] |
Zadeh L A. Fuzzy logic, neural networks and soft computing[M]∥Safety Evaluation Based on Identification Approaches Related to TimeVariant and Nonlinear Structures, 1993:320321.
|
[3] |
Wu Shangzhi.An algorithm of attribute value reduction and its application based on rough sets[J].Computer Applications and Software,2009,26(2):263265.(in Chinese)
|
[4] |
Wu Shangzhi, Gou Pingzhang. Attribute reduction algorithm on rough set and information entropy and its application[J].Computer Engineering,2011,37(7):5658.(in Chinese)
|
[5] |
Wroblewski J. Finding minimal reducts using genetic algorithms[C]∥Proc of the 2nd Annual Join Conference on Information Sciences,1995:186189.
|
[6] |
Li Weisheng, Yi Zhe. Rough set attribute reduction algorithm based on GA[J].Microelectronics & Computer,2010,27(3):7174.(in Chinese)
|
[7] |
Xiong Yunhui,Xiao Renyue.Finding minimal reducts using an improved genetic algorithms[J].Computer Science,29(9):123125.(in Chinese)
|
[8] |
Bae C,Yeh W C, Chung Y Y, et al.Feature selection with intelligent dynamic swarm and rough set [J].Expert Systems with Applications,2010,37 (10):70267032.
|
[9] |
Bing Xue,Zhang Mengjie, Browne W N. Particle swarm optimisation for feature selection in classification:Novel initialisation and updating mechanisms [J].Applied Soft Computing,2014,18(5):261276.
|
[10] |
Shi Feng,Wang Hui,Yu Lei,et al.MATLAB intelligent algorithm with 30 case analysis[M].Beijing:Beihang University Press,2011.(in Chinese)
|
[11] |
Ye Dongyi, Liao Jiankun. Minimum attribute reduction algorithm based on particle swarm optimization[C]∥Proc of the 11th Chinese Association for Artificial Intelligence,2005:728732.(in Chinese)
|
[12] |
Qi Xiaoming, Shi Liang. Improved feature selection algorithm based on simulated annealing algorithm and artificial bee colony algorithm[J].Computer Engineering and Design,2013,34(8):29172921.(in Chinese)
|
[13] |
Huang Danfeng, Qi Yunsong, Xu Shanna.Gene selection method based on rough sets and ant colony algorithm[J].Computer Technology and Development,2012,22(6):6870.(in Chinese)
|
[14] |
Xu Gang,Yang Yuqun,Liu Binbin.Improved nonlinear adaptive particle swarm optimizer[J].Journal of Nanchang Univercity(Natural Science),2011,35(4):323326.(in Chinese)
|
|
附中文参考文献:
|
[3] |
吴尚智.基于粗糙集的一种属性值约简算法及其应用[J].计算机应用与软件,2009,26(2):263265.
|
[4] |
吴尚智,苟平章.粗糙集和信息熵的属性约简算法及其应用[J].计算机工程,2011,37(7):5658.
|
[6] |
李伟生,易哲.基于遗传算法的粗糙集属性约简算法[J].微电子学与计算机,2010,27(3):7174.
|
[7] |
熊赟晖,肖人岳.用遗传算法求解粗糙集约简的改进方法[J].计算机科学,2002,29(9):123125.
|
[10] |
史峰,王辉,郁磊,等.MATLAB智能算法30个案例分析[M].北京:北京航空航天大学出版社,2011.
|
[11] |
叶东毅,廖建坤.基于粒子群优化的最小属性约简算法[C]∥第11届中国人工智能大会论文集,2005:728732.
|
[12] |
戚孝铭,施亮.基于模拟退火及蜂群算法的优化特征选择算法[J].计算机工程与设计,2013,34(8):29172921.
|
[13] |
黄丹凤,齐云嵩,许珊娜.基于粗糙集和蚁群算法的特征基因选择方法[J].计算机技术与发展,2012,22(6):6870.
|
[14] |
徐刚,杨玉群,刘斌斌.一种非线性自适应粒子群优化算法[J].南昌大学学报(自然科学版),2011,35(4):323326.
|