工作进展 2020年5月19日：Wu Dongdong（吴东冬|2017级本科）为第一作者在SCI期刊发表1项我们的科研进展。Wu D, Tang Y*. An improved failure mode and effects analysis method based onuncertainty measure in the evidence theory. Qual Reliab Engng Int. 2020; 36(5): 1786‐1807. https://doi.org/10.1002/qre.2660 （SCI检索号：000533777100001）

2020年4月28日：Wenhao Wang，Zhenbang Ma，Kesu Wang（王文昊,马振邦,王柯苏|2017级本科）获2020年美国数学建模竞赛（MCM/ICM）二等奖（Honorable Mention）一项（Team 2019058）；Miao Qin，Xinwang Li，Ruohan Shi，Haixia Zheng，Chao Feng，Ming Jing成功完成2020美赛训练（Successful Participant，三等奖），每一步积累都算数都值得肯定。2020年美国数学建模竞赛指导工作完成。 2020年4月24日：Miao Qin（秦淼|2017级本科）为第一作者在SCI期刊发表1项我们的科研进展。Qin, M.; Tang, Y.*; Wen, J. An Improved Total Uncertainty Measure in the Evidence Theory and Its Application in Decision Making. Entropy 2020, 22, 487. https://doi.org/10.3390/e22040487 （SCI检索号：000537222600117） 2020年4月13日：Haixia Zheng（郑海霞|2017级本科）为第一作者在SCI期刊发表1项我们的科研进展。H. Zheng and Y. Tang*, "A Novel Failure Mode and Effects Analysis Model Using Triangular Distribution-Based Basic Probability Assignment in the Evidence Theory," in IEEE Access, vol. 8, pp. 66813-66827, 2020. https://doi.org/10.1109/ACCESS.2020.2986807（SCI检索号：000527415900002） 2020年2月28日：Haixia Zheng（郑海霞|2017级本科）为第一作者在SCI期刊发表1项我们的科研进展。Zheng, H.; Tang, Y*. Deng Entropy Weighted Risk Priority Number Model for Failure Mode and Effects Analysis. Entropy 2020, 22, 280. https://doi.org/10.3390/e22030280（SCI检索号：000526524300088） 2020年2月24日：Rongfei Li、Hao Li（李镕非,李浩|2018级本科）为第一、第二作者在SCI期刊发表1项我们的科研进展（李镕非-微电子与通信工程学院，李浩-物理学院）。R. Li, H. Li and Y. Tang*, "An Improved Method to Manage Conflict Data Using Elementary Belief Assignment Function in the Evidence Theory," in IEEE Access, vol. 8, pp. 37926-37932, 2020. https://doi.org/10.1109/ACCESS.2020.2975989（SCI检索号：000525545900036）

教育背景 2015–2019 西北工业大学，电子科学与技术专业，博士研究生，工学博士（导师：周德云教授） 2011–2014 西南大学, 计算机应用技术专业, 硕士研究生，工学硕士 (导师:刘枫 教授) 2007–2011 西南大学, 自动化(控制方向)专业, 大学本科，工学学士 2003–2007 四川省安岳县, 安岳实验中学、安岳中学，高中 2000–2003 四川省安岳县清流乡，清流初级中学，初中 1994–2000 四川省安岳县清流乡，清流中心小学，小学

境外经历 1.2018.07 英国剑桥；剑桥大学，参加21st International Conference on Information Fusion (FUSION), 10-13 July 2018, Cambridge, UK；作口头报告。（西北工业大学资助国际学术会议） 2.2017-2018 中国香港；香港理工大学, 访学6个月 (西北工业大学资助, 合作导师: Prof. Felix T.S. Chan)。 讲授课程(专题) 2019–2020 软件架构设计 (硕士课程) 2015–2016 模糊系统与模糊控制 (硕士课程) 2011–2012 过程检测技术及仪表 (本科课程) 主持项目 1.西北工业大学博士论文创新基金(重点)项目,基于证据理论的非完备信息表示及应用研究,经费:4.00万元；项目周期：2017.01–2018.12。 参加项目 1.国家自然科学基金，项目名称“非完备信息的基本概率指派生成及应用研究”（编号：61671384），项目期限：2017年01月～2020年12月。

工作经历 2019.07– 至今 重庆大学，大数据与软件学院，讲师 2018.06–2018.11 西北工业大学, 电子信息学院, 辅导员 2014.03–2015.08 广州汽车集团股份有限公司汽车工程研究院, 研发工程师 2012.05–2012.11 中共珙县县委组织部, 挂职锻炼(校地合作项目) 2011.09–2012.01 西南大学育才学院(现重庆人文科技学院), 外聘教师 2011.08–2012.01 西南大学, 2011级自动化专业, 班主任 2010.08–2011.02 成都吉胜科技有限责任公司, 客户服务专员

工程项目 2014.03–2015.08 参加广汽集团自主品牌"广汽传祺"系列整车研发项目。 就职广州汽车集团股份有限公司汽车工程研究院(广汽研究院)期间, 任电子电器部车身电子电气系统设计责任工程师.参加广汽研究院"广汽传祺"品牌系列整车研发项目，包括: (1)三款SUV: 广汽传祺GS5S，GS4，GS8; (2)两款轿车:广汽传祺GA6，GA8; (3)一款MPV: 广汽传祺GM8。 在项目中主要负责: (1)各车型智能前照灯自适应调光控制系统AFS/ALS; (2)整车灯具电气接口信息; (3)鸣笛喇叭等车身电子零部件系统技术方案制定; (4)所负责零部件/系统的供应商考察与定点, 零部件布置, 台架测试, 软件参数标定试验, 实验报告编制, 量产准备等工作。

荣誉奖励 2018年：教育部"博士研究生国家奖学金"，工信部“工信创新创业奖学金”二等奖，西北工业大学博士生一等学业奖学金、社会活动二等奖学金等。 2017年：教育部"博士研究生国家奖学金"，西北工业大学博士生一等学业奖学金、"优秀研究生"、社会活动一等奖学金等。 2016年：教育部"博士研究生国家奖学金"，西北工业大学"优秀研究生"、博士生一等学业奖学金等。 2015年：西北工业大学博士生一等学业奖学金。 2014年：广汽集团汽车工程研究院,(提前3个月)转正考核"优秀"。 2013年：西南大学研究生一等奖学金等。 2012年：西南大学研究生一等奖学金等。 2011年：西南大学研究生一等奖学金、优秀毕业生等。 2010年：教育部国家励志奖学金,重庆市"精神文明"先进个人，西南大学优秀学生干部等。 2009年：教育部国家励志奖学金，西南大学三好学生等。 2008年：西南大学三等奖学金，优秀学生干部等。

研究方向 信息融合; 智能信息处理; 智能控制

学术兼职 1.担任IEEE Transactions on Engineering Management, International Journal of Approximate Reasoning, SCIENCE CHINA Information Sciences,Stochastic Environmental Research and Risk Assessment, International Journal of Imaging Systems and Technology,Quality and Reliability Engineering International, International Journal of Fuzzy Systems, Royal Society Open Science, Discrete Dynamics in Nature and Society等16个SCI国际期刊审稿人。 2.担任21th International Conference on Information Fusion、20th International Conference on Information Fusion等国际会议审稿人、担任TPC member of the 21th International Conference on Information Fusion (Fusion 2018)。 3.国际信息融合学会会员（Regular member of ISIF,2017-2020）。 4.中国电子教育学会会员（2019-2021）。

英文期刊论文（SCI 收录）（* Corresponding author） （数据统计于2019年10月，更新请见：https://www.scopus.com/authid/detail.uri?authorId=57202261852) 1. Xie, S., Zhang, A., Bi, W., & Tang, Y. (2019). Multi-UAV Mission Allocation under Constraint. Applied Sciences, 9(11), 2184. 2. Zhou, Y., Tang, Y.*, & Zhao, X. (2019). A Novel Uncertainty Management Approach for Air Combat Situation Assessment Based on Improved Belief Entropy. Entropy, 21(5), 495. 3. Wan, L., Su, Y., Zhang, H., Tang, Y., & Shi, B. (2019). Global fast terminal sliding mode control based on radial basis function neural network for course keeping of unmanned surface vehicle. International Journal of Advanced Robotic Systems, 16(2), 1729881419829961. 4. Pan, Q., Zhou, D., Tang, Y., Li, X., & Huang, J. (2019). A Novel Belief Entropy for Measuring Uncertainty in Dempster-Shafer Evidence Theory Framework Based on Plausibility Transformation and Weighted Hartley Entropy. Entropy, 21(2), 163. 5. Lv, X., Zhou, D., Ma, L., & Tang, Y.*. (2019). Dependency Model-Based Multiple Fault Diagnosis Using Knowledge of Test Result and Fault Prior Probability. Applied Sciences, 9(2), 311. 6. Pan, Q., Zhou, D., Tang, Y., & Li, X. (2019). A Novel Antagonistic Weapon-Target Assignment Model Considering Uncertainty and Its Solution Using Decomposition Co-Evolution Algorithm. IEEE Access, 7, 37498-37517. 7. Meng, J., Fu, D., Tang, Y., Yang, T., & Zhang, D. (2019). A Novel Semi-Supervised Classification Method Based on Soft Evidential Label Propagation. IEEE Access, 7, 62210-62220. 8. Zhou, X., & Tang, Y.* (2018). Modeling and Fusing the Uncertainty of FMEA Experts Using an Entropy-Like Measure with an Application in Fault Evaluation of Aircraft Turbine Rotor Blades. Entropy, 20(11), 864. 9. Wan, L., Su, Y., Zhang, H., Tang, Y., & Shi, B. (2018). Neural adaptive sliding mode controller for unmanned surface vehicle steering system. Advances in Mechanical Engineering, 10(9), 1687814018795523. 10. Huang, Z., Jiang, W., & Tang, Y. (2018). A new method to evaluate risk in failure mode and effects analysis under fuzzy information. Soft Computing, 22(14), 4779-4787. 11. Tang, Y.*, Zhou, D., & Chan, F. (2018). An extension to Deng’s entropy in the open world assumption with an application in sensor data fusion. Sensors, 18(6), 1902. 12. Jiang, W., Xie, C., Wei, B., & Tang, Y. (2017). Failure mode and effects analysis based on Z-numbers. Intelligent Automation & Soft Computing, 1-8. 13. Tang, Y.*, Zhou, D., & Chan, F. T. (2018). AMWRPN: Ambiguity measure weighted risk priority number model for failure mode and effects analysis. IEEE access, 6, 27103-27110. 14. Lv, X., Zhou, D., Tang, Y.*, & Ma, L. (2018). An improved test selection optimization model based on fault ambiguity group isolation and chaotic discrete PSO. Complexity, 2018. 15. Jiang, W., Yang, T., Shou, Y., Tang, Y., & Hu, W. (2018). Improved evidential fuzzy c-means method. Journal of Systems Engineering and Electronics, 29(1), 187-195. 16. Li, X., Zhou, D., Pan, Q., Tang, Y., & Huang, J. (2018). Weapon-target assignment problem by multiobjective evolutionary algorithm based on decomposition. Complexity, 2018. 17. Tang, Y.*, Zhou, D., Zhuang, M., Fang, X., & Xie, C. (2017). An improved evidential-IOWA sensor data fusion approach in fault diagnosis. Sensors, 17(9), 2143. 18. Jiang, W., Xie, C., Zhuang, M., & Tang, Y. (2017). Failure mode and effects analysis based on a novel fuzzy evidential method. Applied Soft Computing, 57, 672-683. 19. Tang, Y.*, Zhou, D., He, Z., & Xu, S. (2017). An improved belief entropy–based uncertainty management approach for sensor data fusion. International Journal of Distributed Sensor Networks, 13(7), 1550147717718497. 20. Zhou, D., Tang, Y.*, & Jiang, W. (2017). A modified belief entropy in Dempster-Shafer framework. PloS one, 12(5), e0176832. 21. Tang, Y.*, Zhou, D., Xu, S., & He, Z. (2017). A weighted belief entropy-based uncertainty measure for multi-sensor data fusion. Sensors, 17(4), 928. 22. Jiang, W., Wei, B., Tang, Y., & Zhou, D. (2017). Ordered visibility graph average aggregation operator: An application in produced water management. Chaos: An Interdisciplinary Journal of Nonlinear Science, 27(2), 023117. 23. Tang, Y.*, Zhou, D., & Xu, S. (2017). An Improved Physarum Solver for Supply Chain Network with Fuzzy Numbers. International Journal of Unconventional Computing, 13(2), 161-184. 24. Zhou, D., Tang, Y.*, & Jiang, W. (2017). An improved belief entropy and its application in decision-making. Complexity, 2017. 25. Jiang, W., Xie, C., Luo, Y., & Tang, Y. (2017). Ranking Z-numbers with an improved ranking method for generalized fuzzy numbers. Journal of Intelligent & Fuzzy Systems, 32(3), 1931-1943. 26. Jiang, W., Zhuang, M., Qin, X., & Tang, Y. (2016). Conflicting evidence combination based on uncertainty measure and distance of evidence. SpringerPlus, 5(1), 1217. 27. Jiang, W., Xie, C., Zhuang, M., Shou, Y., & Tang, Y. (2016). Sensor data fusion with z-numbers and its application in fault diagnosis. Sensors, 16(9), 1509. 28. Tang, Y., Zhou, D., & Jiang, W. (2016). A new fuzzy-evidential controller for stabilization of the planar inverted pendulum system. PloS one, 11(8), e0160416. 29. Zhou, D., Tang, Y.*, & Jiang, W. (2016). A modified model of failure mode and effects analysis based on generalized evidence theory. Mathematical Problems in Engineering, 2016. 30. Jiang, W., Wei, B., Qin, X., Zhan, J., & Tang, Y. (2016). Sensor data fusion based on a new conflict measure. Mathematical Problems in Engineering, 2016. 国际学术会议论文（EI 收录） 1. Tang, Y.*, Zhou, D., & Chan, F. T. (2018, July). Extending Deng Entropy to the Open World in the Evidence Theory. In 2018 21st International Conference on Information Fusion (FUSION), 10-13 July 2018, Cambridge, UK, (pp. 629-634). IEEE. 2. Tang, Y.*, Fang, X., Zhou, D., & Lv, X. (2017, July). Weighted Deng entropy and its application in uncertainty measure. In 2017 20th International Conference on Information Fusion (Fusion) (pp. 1-5). IEEE. 3. Feng, L., Tang, Y., & Qian, Q. (2011, August). Stabilize the planar single inverted pendulum based on LQR. In 2011 IEEE International Conference on Automation and Logistics (ICAL) (pp. 238-242). IEEE. 4. Qian, Q., Dongmei, D., Feng, L., & Tang, Y. (2011, August). Stabilization of the double inverted pendulum based on discrete-time model predictive control. In 2011 IEEE International Conference on Automation and Logistics (ICAL) (pp. 243-247). IEEE.