个人简历

教育经历
作为项目负责人和骨干成员主持国家自然科学基金多项，卫生部行业公益专项1项。发表学术论文30余篇，SCI收录8篇，EI收录20余篇。
Education Background
2005.92008.7北京师范大学应用数学博士
2002.92005.7辽宁师范大学应用数学硕士
1998.92002.7辽宁师范大学应用数学与数学教育学士
1995.91998.7大连市20高中
工作经历
Work Experience
2008.7至今大连理工大学电子与信息工程学院教师
2005.92008.7北京师范大学数学科学学院学生
2002.92005.7辽宁师范大学数学学院学生
1998.92002.7辽宁师范大学数学系学生
科研项目
慢性肾衰竭中医量化辨证及中西医结合治疗方案建立, 一般纵向, 2017/09/16, 进行
基于信息粒化和误差补偿的模糊系统建模及其应用, 国家自然科学基金, 2017/08/17, 进行
样本库信息管理系统的研究与开发, 2011/06/20-2011/10/10, 完成
基于模糊推理的动态系统建模与摄动性分析, 国家自然科学基金, 2011/09/25-2014/12/31, 完成
燃动子系统及部件仿真建模及故障模式分析, 2016/05/20-2017/06/30, 进行
影响尿毒症患者生存质量和医疗费用的关键血液净化技术的评价及规范建立, 公益性行业科研专项, 2015/06/01, 完成
变论域模糊控制的自适应机理及其相关理论问题, 国家自然科学基金, 2013/09/25-2017/12/31, 完成
基于HX方程的不确定性系统的分析与控制及其在平面四级倒立摆中的应用, 国家自然科学基金, 2010/09/25-2013/12/31, 完成
基于因素空间理论的XXX模型研究, 国家重点研发计划（JG）, 2018/02/01, 进行
科研奖励
2012年校优秀多媒体课件奖

研究领域

基于数据和知识的复杂系统建模与智能控制
大数据分析、机器学习与人工智能
课题组欢迎对大数据、机器学习、人工智能、欠驱动控制系统、应用数学等领域感兴趣的同学报考。"基于数据和知识的复杂系统建模、机器学习、人工智能、智能控制、大数据分析"

近期论文

[1]Chen Jilin,Jiang Hongli,Shi Wei,Liu Wenhu,Fu Ping,Ding Xiaoqiang,Chang Ming,Liu Shuxin,Yang Xiao,Cao Ning,Chen Menghua,Liu Ying,Ni Zhaohui,Chen Jing,Sun Shiren,Liang Xinling,Wang Huimin,He Yani,Gao Bihu,Wang Jianqin,Hao Lirong,Liu Jian,Chen Xiangmei,Li Suhua,He Qiang,Liu Hongmei,Yi Na,Shao Fengmin,Jiao Jundong,Ma Yuhuan,Yao Li,Sun Yi,Li Detian,Sun Xuefeng,Szczech Lynda,Fang Ming,Odeh Zach,Lin Hongli,Li Wei,Yang Wang,Li Ping,Sun Ximing,Wang Degang.Assessment of dialysis initiation by a fuzzy mathematics equation (ADIFE): a study protocol for a randomised controlled trial[J],BMJ open,2019,9(9):e023162
[2]汪德刚,宋雯彦,丁士宁.A Marginal Linearization Fuzzy Inference Modeling Method Based on Ensemble Learning[J],ICIC Express Letters,2018,12(10):1025-1031
[3]周伟,汪德刚,李洪兴,宋雯彦.Long-term forecasting of time series based on sliding window information granules and fuzzy inference system[A],2018 5th International Conference on Information, Cybernetics, and Computational Social Systems,2018,375-380
[4]赵国亮,吴微,汪德刚.Enhancement of the Variable Universe of Discourse Control By Hammersley Sequence-Based TP Model Transformation[A],8th International Conference on Information Science and Technology,2018,401-408
[5]Wang, Degang,Song, Wenyan,Pedrycz, Witold.A two stage forecasting approach for interval-valued time series[J],JOURNAL OF INTELLIGENT & FUZZY SYSTEMS,2018,35(2):2501-2512
[6]Song, Wenyan,Wang, Degang,Li, Hongxing,Oai, Lili.Modeling and forecasting of interval-valued time series using fuzzy modeling and interval information granularity[J],International Journal of Innovative Computing, Information and Control,2017,13(2):671-677
[7]汪德刚,李洪兴.An Adaptation Model with Variable Window Size for Fuzzy Time Series[J],ICIC Express Letters, Part B: Applications,2017,8(9):1279-1286
[8]Zhao, Guoliang,Wang, Degang,Song, Zhankui.A novel tensor product model transformation-based adaptive variable universe of discourse controller[J],JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS,2016,353(17):4471-4499
[9]Lv, Qiuxia,Wang, Degang,Li, Hongxing,Song, Wenyan,Chen, C. L. Philip,Lin, Hongli.A Kernel Logistic Neural Network based on Restricted Boltzmann Machine[A],3rd International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS),2016,1-6
[10]Chi, D.,Wang, D.,Li, H..A fuzzy logistic neural network for binary classification[J],ICIC Express Letters,2016,10(8):1865-1870
[11]Song, Wenyan,Wang, Degang,Fang, Pan,Liu, Dehai.Prediction of interval-valued time series based on Bernstein fuzzy system[J],ICIC Express Letters,2016,10(7):1649-1655
[12]Zhang, Encheng,Wang, Degang,Li, Hongxing.A Comprehensive High Order Type 2 Fuzzy Time Series Forecasting Model[A],28th Chinese Control and Decision Conference,2016,6681-6686
[13]汪德刚,李洪兴.A Comprehensive High Order Type 2 Fuzzy Time Series Forecasting[A],2016,6681-6686
[14]Cai, Lili,Wang, Degang,Song, Wenyan,Li, Hongxing.Nonlinear Interval Regression Analysis Based on Spline Fuzzy Model with Interval Coefficients[A],7th International Conference on Intelligent Control and Information Processing (ICICIP),2016,210-216
[15]Fang P.,Wang D.,Song W..Identification of fuzzy wavelet neural network by combining extreme learning machine and gradient decent algorithm[J],ICIC Express Letters, Part B: Applications,2015,6(7):1937-1944
[16]Wang, De-Gang,Song, Wen-Yan,Li, Hong-Xing.Approximation properties of ELM-fuzzy systems for smooth functions and their derivatives[J],NEUROCOMPUTING,2015,149(PA):265-274
[17]Wang, De-Gang,Chen, C. L. Philip,Song, Wen-Yan,Li, Hong-Xing.Error-Compensated Marginal Linearization Method for Modeling a Fuzzy System[J],IEEE TRANSACTIONS ON FUZZY SYSTEMS,2015,23(1):215-222
[18]汪德刚,李洪兴.Approximation properties of ELM-fuzzy systems for smooth functions[J],NEUROCOMPUTING,2015,149(149):265-274
[19]Song W.,Wang D.,Liu Y..Nonlinear system approximation and prediction using fuzzy Taylor neural network-based extreme learning machine[J],ICIC Express Letters, Part B: Applications,2014,5(5):1231-1236
[20]Wang D.,Wang Q.,Song W.,Li H..Swing-up control for single circle inverted pendulum based on deviation function[J],ICIC Express Letters,2014,8(8):2099-2104
[21]Zhao Guoliang,Zhao Can,Wang Degang.Tensor Product Model Transformation based Integral Sliding Mode Control with Reinforcement Learning Strategy[A],33rd Chinese Control Conference (CCC),2014,77-82
[22]Wang, De-Gang,Song, Wen-Yan,Shi, Peng,Li, Hong-Xing.Approximation to a class of non-autonomous systems by dynamic fuzzy inference marginal linearization method[J],INFORMATION SCIENCES,2013,245:197-217
[23]Wang D.,Huang Y.,Liu M.,Li H..Variable universe adaptive fuzzy sliding mode control for the two-dimension numerical turntable[J],ICIC Express Letters,2013,7(11):3089-3094
[24]宋雯彦,汪德刚,刘德海,王维国.Identification of threshold auto- regressive time series using fuzzy modeling technology[J],ICIC Express Letters, Part B: Applications,2012,3(4):983-990
[25]汪德刚.Approximate Analytic and Numerical Solutions to Lane-Emden Equation via Fuzzy Modeling Method,[J],Mathematical Problems in Engineering,2012,2012:1-15
[26]Wang, De-Gang,Song, Wen-Yan,Zou, Li.Continuity of Fuzzy Similarity Inference Method[J],JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING,2012,18(5-6,SI):525-539
[27]Song W.-Y.,Wang D.-G.,Wang W.-G.,Liu D.-H..Functional coefficient autoregressive time series modeling based on fuzzy inference method[A],2011 3rd International Conference on Awareness Science and Technology, iCAST 2011,2011,177-182
[28]Wang, Degang,Song, Wenyan,Li, Hongxing.DESIGN AND APPROXIMATION CAPABILITIES ANALYSIS OF TIME-VARIANT FUZZY SYSTEMS[J],INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL,2011,7(3):1121-1132
[29]Wang D.,Song W.,Li H..Fuzzy similarity inference method and its application to fuzzy system modeling[J],ICIC Express Letters,2010,4(5):1471-1476
[30]Wang, Degang,Song, Wenyan,Zou, Li,Pei, Zheng.CONTINUITY OF FUZZY SIMILARITY INFERENCE METHOD[A],9th International FLINS Conference on Computational Intelligence: Foundations and Applications,2010,4:399-+
[31]Wang, De-Gang,Song, Wen-Yan,Li, Hong-Xing.Analysis and design of time-variant fuzzy systems based on dynamic fuzzy inference[J],COMPUTERS & MATHEMATICS WITH APPLICATIONS,2010,60(3):464-489
[32]Song W.,Wang D.,Li H.,Wang W..Stability analysis of a class of nonlinear dynamic systems[J],ICIC Express Letters,2010,4(1):281-287
[33]Wang, De-Gang,Yuan, Xue-Hai,Song, Wen-Yan,Li, Hong-Xing.Analysis of response abilities of fuzzy systems based on non-singleton fuzzifier method[A],2nd IEEE International Conference on Advanced Computer Control,2010,3:158-162
[34]Wang D.-G.,Song W.-Y.,Li H.-X..Analysis of response abilities of time-varying fuzzy systems[A],2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010,2010,1:104-108
[35]Song W.-Y.,Wang D.-G.,Wang W.-G..Analysis for perturbation of fuzzy systems modeling[J],ICIC Express Letters,2009,3(3):573-578
[36]胡凯,汪德刚,王加银.基于不同蕴涵算子的三Ⅰ算法构造的模糊控制器及其响应能力[J],北京师范大学学报（自然科学版）,2009,45(4):344-349
[37]Meng Y.,Li H.,Wang D..Fuzzy set-valued similarity measure and its application to pattern recognition[A],6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009,2009,6:257-262
[38]汪德刚,孟艳平,宋雯彦,李洪兴.模糊相似度推理算法及其构造的模糊系统逼近性能的分析[J],工程数学学报,2009,26(3):423-430
[39]孟艳平,汪德刚,李洪兴.模糊信息度量及推理中蕴涵运算的信息度约束[J],模糊系统与数学,2009,23(1):24-29
[40]宋雯彦,汪德刚,李洪兴.边缘线性化方法构造的Fuzzy系统及其逼近性能分析[J],模糊系统与数学,2009,23(5):93-98
[41]Wang, De-Gang,Meng, Yan-Ping,Li, Hong-Xing.A fuzzy similarity inference method for fuzzy reasoning[J],COMPUTERS & MATHEMATICS WITH APPLICATIONS,2008,56(10):2445-2454
[42]Wang, Degang,Song, Wenyan,Li, Hongxing.Unified forms of fuzzy similarity inference method for fuzzy reasoning and fuzzy systems[J],INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL,2008,4(9):2285-2294