陈阳，博士，副教授，硕士研究生导师，2020年1月毕业于东北大学控制理论与控制工程专业，获工学博士学位。研究方向：模糊系统理论及其应用、智能计算。近年来参与国家自然科学基金项目3项，主持辽宁省自然科学基金项目2项，辽宁省教育厅基金项目2项。在《Expert Systems with Applications》、《Neurocomputing》、《Soft Computing》、《Complex & Intelligent Systems》、《International Journal of Fuzzy Systems》、《Optimal Control Applications & Methods》、《Journal of Intelligent & Fuzzy Systems》、《控制理论与应用》等国内外期刊上发表学术论文40余篇，其中在SCI检索源论文27篇，EI检索源论文9篇, 中文核心期刊十余篇。经过专家提名和评审，获得2022年国际学术“最佳研究者奖” (Best Researcher Award (International Research Awards on New Science Inventions NESIN 2022 Awards, Sciencefather)). 2012年获得辽宁工业大学教师讲课大赛一等奖，主讲的《Advanced Mathematics》在2013年被评为省级留学生英文授课品牌课程，作为课程团队主要成员主讲的《高等数学》在2023年获批第二批国家级一流本科课程。作为主要完成人参与的《高等数学》精品资源课程建设与应用在2020年获得辽宁省教学成果一等奖。
Email: lxychenyang@lnut.edu.cn; chenyanghanyun@163.com
代表性论文：
1. Yang Chen, Dazhi Wang, Shaocheng Tong. Forecasting studies by designing Mamdani interval type-2 fuzzy logic systems: with the combination of BP algorithms and KM algorithms. Neurocomputing, 2016, 174(part b): 1133-1146.
2. Yang Chen, Chenxi Li, Jiaxiu Yang. Design and application of Nagar-Bardini structure-based interval type-2 fuzzy logic systems optimized with the combination of backpropagation algorithms and recursive least square algorithms. Expert Systems with Applications, 2023, vol. 211, ID: 118596.
3. Yang Chen, Dazhi Wang, Wu Ning. Forecasting by TSK general type-2 fuzzy logic systems optimized with genetic algorithms. Optimal Control Applications & Methods, 2018, 39(1): 393-409.
4. Yang Chen, Dazhi Wang. Forecasting by general type-2 fuzzy logic systems optimized with QPSO algorithms. International Journal of Control, Automation and Systems, 2017, 15(6): 2950-2958.
5. Yang Chen, Dazhi Wang. Study on centroid type-reduction of general type-2 fuzzy logic systems with weighted enhanced Karnik-Mendel algorithms. Soft Computing, 2018, 22(4): 1361-1380.
6. Yang Chen, Dazhi Wang. Study on centroid type-reduction of general type-2 fuzzy logic systems with weighted Nie-Tan algorithms. Soft Computing, 2018, 22(22): 7659-7678.
7. Yang Chen. Study on weighted-based discrete noniterative algorithms for computing the centroids of general type-2 fuzzy sets. International Journal of Fuzzy Systems, 2022, 24(1): 587-606.
8. Yang Chen. Study on weighted Nagar-Bardini algorithms for centroid type-reduction of interval type-2 fuzzy logic systems. Journal of Intelligent & Fuzzy Systems, 2018, 34(4): 2417-2428.
9. Yang Chen. Design of sampling-based noniterative algorithms for centroid type-reduction of general type-2 fuzzy logic systems. Complex & Intelligent Systems, 2022, 8(5): 4385-4402.
10. 陈阳，王大志. 基于加权Karnik-Mendel算法的区间二型模糊逻辑系统降型. 控制理论与应用，2016，33(10): 1327-1336.
