[1] Hassan H E, Aboloyoun A I. The value of bedside tests in dysphagia evaluation. Egyptian Journal of Ear, Nose, Throat and Allied Sciences, 2014, 15 (3):197-203 doi: 10.1016/j.ejenta.2014.07.007
[2] Navaneethan U, Eubanks S. Approach to patients with esophageal dysphagia. Surgical Clinics of North America, 2015, 95 (3):483-489 doi: 10.1016/j.suc.2015.02.004
[3] Fields J, Go J T, Schulze K S. Pill properties that cause dysphagia and treatment failure. Current Therapeutic Research, 2015, 77:79-82 doi: 10.1016/j.curtheres.2015.08.002
[4] Huang K L, Liu T Y, Huang Y C, Leong C P, Lin W C, Pong Y P. Functional outcome in acute stroke patients with oropharyngeal dysphagia after swallowing therapy. Journal of Stroke and Cerebrovascular Disease, 2014, 23 (10):2547-2553 doi: 10.1016/j.jstrokecerebrovasdis.2014.05.031
[5] 庄福振, 罗平, 何清, 史忠植.迁移学习研究进展.软件学报, 2015, 26 (1):26-39 http://www.cnki.com.cn/Article/CJFDTOTAL-RJXB201501003.htm

Zhuang Fu-Zhen, Luo Ping, He Qing, Shi Zhong-Zhi. Survey on transfer learning research. Journal of Software, 2015, 26 (1):26-39 http://www.cnki.com.cn/Article/CJFDTOTAL-RJXB201501003.htm
[6] 范玉华, 秦世引.基于潜在语义分析的场景分类优化决策方法.计算机辅助设计与图形学学报, 2013, 25 (2):175-182 http://www.cnki.com.cn/Article/CJFDTOTAL-JSJF201302006.htm

Fan Yu-Hua, Qin Shi-Yin. Optimizing decision for scene classification based on latent semantic analysis. Journal of Computer-aided Design and Computer Graphics, 2013, 25 (2):175-182 http://www.cnki.com.cn/Article/CJFDTOTAL-JSJF201302006.htm
[7] 杨武夷, 曾智, 张树武, 李和平.基于人脸检测与SIFT的播音员镜头检测.软件学报, 2009, 20 (9):2417-2425 http://www.cnki.com.cn/Article/CJFDTOTAL-RJXB200909014.htm

Yang Wu-Yi, Zeng Zhi, Zhang Shu-Wu, Li He-Ping. Anchor shot detection based on face detection and SIFT. Journal of Software, 2009, 20 (9):2417-2425 http://www.cnki.com.cn/Article/CJFDTOTAL-RJXB200909014.htm
[8] 李琳辉, 郭景华, 张明恒, 连静.越野智能车转向及驱动协调控制.控制理论与应用, 2013, 30 (1):80-94 http://www.cnki.com.cn/Article/CJFDTOTAL-KZLY201301013.htm

Li Lin-Hui, Guo Jing-Hua, Zhang Ming-Heng, Lian Jing. Coordinated control of steering and driving in off-road intelligent vehicle. Control Theory and Applications, 2013, 30 (1):80-94 http://www.cnki.com.cn/Article/CJFDTOTAL-KZLY201301013.htm
[9] 李璐, 董秋雷, 赵瑞珍.含缺失成分的矩阵的广义低秩逼近及其在图像处理中的应用.计算机辅助设计与图形学学报, 2015, 27 (11):2065-2076 http://www.cnki.com.cn/Article/CJFDTOTAL-JSJF201511007.htm

Li Lu, Dong Qiu-Lei, Zhao Rui-Zhen. Generalized low-rank approximations of matrices with missing components and its applications in image processing. Journal of Computer-Aided Design and Computer Graphics, 2015, 27 (11):2065-2076 http://www.cnki.com.cn/Article/CJFDTOTAL-JSJF201511007.htm
[10] Yardimci A. Soft computing in medicine. Applied Soft Computing, 2009, 9 (3):1029-1043 doi: 10.1016/j.asoc.2009.02.003
[11] Montani S. Exploring new roles for case-based reasoning in heterogeneous AI systems for medical decision support. Applied Intelligence, 2008, 28 (3):275-285 doi: 10.1007/s10489-007-0046-2
[12] Yan H M, Jiang Y T, Zheng J, Peng C L, Li Q H. A multilayer perceptron-based medical decision support system for heart disease diagnosis. Expert Systems with Applications, 2006, 30 (2):272-281 doi: 10.1016/j.eswa.2005.07.022
[13] Teodorescua H N L, Chelaru M, Kandel A, Tofan I, Irimia M. Fuzzy methods in tremor assessment, prediction, and rehabilitation. Artificial Intelligence in Medicine, 2001, 21 (1-3):107-130 doi: 10.1016/S0933-3657(00)00076-2
[14] Shamsuddin S, Yussof H, Ismail L I, Mohamed S, Hanapiahc F A, Zaharid N I. Humanoid robot NAO interacting with autistic children of moderately impaired intelligence to augment communication skills. Procedia Engineering, 2014, 41:1533-1538
[15] Zahedi Z M, Akbari R, Shokouhifar M, Safaei F, Jalali A. Swarm intelligence based fuzzy routing protocol for clustered wireless sensor networks. Expert Systems with Applications, 2016, 55:313-328 doi: 10.1016/j.eswa.2016.02.016
[16] 何小贤, 朱云龙, 王玫.群体智能中的知识涌现与复杂适应性问题综述研究.信息与控制, 2005, 34 (5):560-566 http://www.cnki.com.cn/Article/CJFDTOTAL-XXYK200505010.htm

He Xiao-Xian, Zhu Yun-Long, Wang Mei. Knowledge emergence and complex adaptability in swarm intelligence. Information and Control, 2005, 34 (5):560-566 http://www.cnki.com.cn/Article/CJFDTOTAL-XXYK200505010.htm
[17] Sabir M M, Ali T. Optimal PID controller design through swarm intelligence algorithms for sun tracking system. Applied Mathematics and Computation, 2016, 274:690-699 doi: 10.1016/j.amc.2015.11.036
[18] Nguyen D, Nguyen L T T, Vo B, Hong T P. A novel method for constrained class association rule mining. Information Sciences, 2015, 320:107-125 doi: 10.1016/j.ins.2015.05.006
[19] Sahoo J, Das A K, Goswami A. An efficient approach for mining association rules from high utility itemsets. Expert Systems with Applications, 2015, 42 (13):5754-5778 doi: 10.1016/j.eswa.2015.02.051
[20] 梁吉业, 冯晨娇, 宋鹏.大数据相关分析综述.计算机学报, 2016, 39(1):1-18 doi: 10.11897/SP.J.1016.2016.00001

Liang Ji-Ye, Feng Chen-Jiao, Song Peng. A survey on correlation analysis of big data. Chinese Journal of Computers, 2016, 39 (1):1-18 doi: 10.11897/SP.J.1016.2016.00001
[21] Ventura R, Pinto-Ferreir C. Responding efficiently to relevant stimuli using an affect-based agent architecture. Neurocomputing, 2009, 72 (13-15):2923-2930 doi: 10.1016/j.neucom.2008.09.019
[22] Su C, Li H G. An affective learning agent with Petri-net-based implementation. Applied Intelligence, 2012, 37 (4):569-585 doi: 10.1007/s10489-012-0350-3
[23] Su C, Li H G. A novel interactive preferential evolutionary method for controller tuning in chemical processes. Chinese Journal of Chemical Engineering, 2015, 23 (2):398-411 doi: 10.1016/j.cjche.2014.09.020
[24] Su C, Li H G, Huang J W, Bao X Y. Generating methods for group affective preferences with engineering applications. Arabian Journal for Science and Engineering, 2015, 40 (6):1539-1551 doi: 10.1007/s13369-015-1617-x
[25] 于超, 樊治平.指标期望为随机变量情形的多指标决策方法.控制与决策, 2015, 30 (8):1434-1440 http://www.cnki.com.cn/Article/CJFDTOTAL-KZYC201508015.htm

Yu Chao, Fan Zhi-Ping. Multiple attribute decision making method with attribute aspirations in the form of random variable. Control and Decision, 2015, 30 (8):1434-1440 http://www.cnki.com.cn/Article/CJFDTOTAL-KZYC201508015.htm
[26] 张小芝, 朱传喜, 朱丽.一种基于变权的动态多属性决策方法.控制与决策, 2014, 29 (3):494-498 http://www.cnki.com.cn/Article/CJFDTOTAL-KZYC201403018.htm

Zhang Xiao-Zhi, Zhu Chuan-Xi, Zhu Li. A method of dynamic multi-attribute decision making based on variable weight. Control and Decision, 2014, 29 (3):494-498 http://www.cnki.com.cn/Article/CJFDTOTAL-KZYC201403018.htm
[27] Xu Z S, Yager R R. Dynamic intuitionistic fuzzy multi-attribute decision making. International Journal of Approximate Reasoning, 2008, 48 (1):246-262 doi: 10.1016/j.ijar.2007.08.008
[28] Ohmoto Y, Kataoka M, Nishida T. Extended methods to dynamically estimate emphasizing points for group decision-making and their evaluation. Procedia--Social and Behavioral Sciences, 2013, 97:147-155 doi: 10.1016/j.sbspro.2013.10.215
[29] Meng F Y, Zhang Q. Induced continuous Choquet integral operators and their application to group decision making. Computers and Industrial Engineering, 2014, 68:42-53 doi: 10.1016/j.cie.2013.11.013
[30] 姜艳萍, 樊治平.基于判断矩阵的决策理论与方法.北京:科学出版社, 2008. 74-78

Jiang Yan-Ping, Fan Zhi-Ping. The Methods and the Theory of Decision Based on the Judge Matrix. Beijing:China Science Publishing and Media Ltd, 2008. 74-78
[31] 徐泽水.不确定多属性决策方法及应用.北京:清华大学出版社, 2004.

Xu Ze-Shui. Uncertain Multiple Attribute Decision Making:Method and Application. Beijing:Tsinghua University Press, 2004.
[32] Xia M M, Xu Z S. Interval weight generation approaches for reciprocal relations. Applied Mathematical Modelling, 2014, 38 (3):828-838 doi: 10.1016/j.apm.2013.07.018
[33] 倪延延, 张晋昕.向量自回归模型拟合与预测效果评价.中国卫生统计, 2014, 33 (1):53-56 http://www.cnki.com.cn/Article/CJFDTOTAL-ZGWT201401016.htm

Ni Yan-Yan, Zhang Jin-Xin. Modeling and forecasting for multivariate time series using a vector autoregression model. Chinese Journal of Health Statistics, 2014, 33 (1):53-56 http://www.cnki.com.cn/Article/CJFDTOTAL-ZGWT201401016.htm