人才队伍

于福生

2020-07-06

  

  于福生 教授,邮箱:yufusheng@bnu.edu.cn

  于福生,北京师范大学数学科学学院教授,理学博士,博士生导师。北京师范大学数学科学学院应用数学教研室主任,北京师范大学“复杂系统智能控制”重点实验室主任。

  曾主持或作为主要成员参与国家自然科学基金重大项目、国家自然科学基金面上项目、国家科技支撑计划项目、博士点基金项目、省部级项目10多项。在国内外学术期刊上发表科研论文就100多篇,著译书3部。(曾)担任多个国际国内刊物编委、GuestEditor、审稿人;多个国际会议的程序委员会委员,区域组织委员会主席,多类基金评审专家。

 

  研究领域

  信息粒化与计算智能、数据挖掘、专家系统、模糊推理,模糊集理论及应用

  学习经历

  1982-1986  北京师范大学数学系  学士

  1986-1989  北京师范大学数学系  硕士

  1994-1998  北京师范大学数学系  博士

 

  代表著作

  罗承忠、于福生、曾文艺,《模糊集引论》,北京师范大学出版社,2019

 

  代表论文

  Fang Li, Fusheng Yu, Multi-factor one-order cross-association fuzzy logical relationships based forecasting models of time series, Information Sciences, 2020, 508, 309-328.

  Xiyang Yang, Fusheng Yu, Witold Pedrycz, Typical characteristics-based type-2 fuzzy c-means algorithm, IEEE Transactions on Fuzzy Systems, https://10.1109 /TFUZZ.2020.2969907, 2020.

  Rui Wang, Yan-jun Liu, Fusheng Yu, Jiayin Wang, Xiao Wang, Liyun Zhao, A novel alleviating fuzzy control algorithm for a class of nonlinear stochastic systems in pure-feedback form, Fuzzy Sets and Systems, 2019,  https://doi.org/10.1016 /j.fss.2020.08.009

  Xiao Wang, Fusheng Yu, Witold Pedrycz, Lian Yu, Clustering of interval-valued time series of unequal length based on improved dynamic time warping, Expert Systems with Applications, 2019,Vol. 125, 293-304.

  Lingzi Duan, Fusheng Yu, Witold Pedrycz, Xiao Wang, Xiyang Yang. Time-series clustering based on linear fuzzy information granules, Applied Soft Computing Journal, 2018, Vol. 73, 1053-1067.

  Xiao Wang, Fusheng Yu, Witold Pedrycz, Jiayin Wang, Hierarchical clustering of unequal-length time series with area-based shape distance, Soft Computing, Soft Computing,2018,https://doi.org/10.1007/s00500-018-3287-6.

  Xiyang Yang, Fusheng Yu, Witold Pedrycz, Long-term forecasting of time series based on linear fuzzy information granules and fuzzy inference system, International Journal of Approximate Reasoning, 2017, Vol. 81, 1–27.

  Fusheng Yu, Witold Pedrycz, The design of fuzzy information granules: tradeoff between specificity and experimental evidence, Applied Soft Computing, 2009, 9: 264-273.

  Shihu Liu, Fusheng Yu and Patrick S. P. Wang, Granularity approach for multi-criteria decision making about hybrid evaluation information, International Journal of Pattern Recognition and Artificial Intelligence,2018, Vol. 32, No. 11.

  Qikai Guo, Fusheng Yu, A method for mining temporal association rules in single-attributed graph sequence, Fuzzy Information and Engineering-2019, 51-61.

  Ke Wang, Ping Guo, Fusheng Yu, Lingzi Duan, Yuping Wang, Hui Du, Computational intelligence in astronomy: a survey, International Journal of Computational Intelligence Systems, 2018,11(1), 575-590.

  Rui Wang, Yanjun Liu, Fusheng Yu, Jiayin Wang, Jinlin Yang, Adaptive variable universe of discourse fuzzy control for a class of nonlinear systems with unknown dead zones, International Journal of Adaptive Control Signal Process, 2017, Vol. 31(12), 1934–1951.

  Xiao Wang, Fusheng Yu, Witold Pedrycz, An area-based shape distance measure of time series, Applied Soft Computing, 2009, Vol.48, 650-659.

  Xiao Wang, Fusheng Yu, Huixin Zhang, Shihu Liu, Jiayin Wang,large-scale time series clustering based on fuzzy granulation and collaboration,International Journal of Intelligent Systems, 2015, 30: 763-780 .

  Rui Wang, Fusheng Yu, and Jiayin Wang,Adaptive non-backstepping fuzzy control for a class of uncertain nonlinear systems with unknown dead-zone input,Asian Journal of Control, 2015, 17(5): 1-9.

  Shihu Liu, Fusheng Yu, Hesitation degree-based similarity measures for intuitionistic fuzzy sets,Int. J. Information and Communication Technology, 2014, 6(1): 7-22.

  Rui Wang, Yanjun Liu, Fusheng Yu, Jiayin Wang, A novel alleviating computation algorithm for a class of large-scale nonlinear systems with unknown dead-zones,Nonlinear Dyn., 2014, 76:915–930.

  Minghuang Li, Fusheng Yu, Semidefinite programming-based method for implementing linear fitting to interval-valued data. International Journal of Fuzzy System Applications (IJFSA), 2011, 1(3): 32-46.

 

  主持、参与的科研项目

    2020-2023  国家自然科学基金项目,基于模糊信息粒化和知识指导的大规模区间值属性图序列的数据挖掘,项目主持

  2016-2019  国家自然科学基金项目,基于知识指导和模糊信息粒化的时序大数据分析和挖掘,项目主持

  2011-2013  北京市自然科学基金项目,基于知识指导和优化模糊信息粒化的大规模时序数据聚类和预测,项目主持

  2008-2010  国家自然科学基金项目,基于优化模糊信息粒化的时间序列分析和数据挖掘,项目主持

  2008-2011  国家科技支撑计划项目,自然灾害规则库管理系统,项目主持

  2020-2023  科技部“科技创新2030-新一代人工智能”重大项目,2018AAA0100200-2018AAA0100203,新一代认知神经网络模型(子课题:神经网络自动组织与演化原理),项目参与

  2006-2007  国家重点实验室基金项目:遥感地表参数混合反演高效算法研究,项目参与

  1995-1997  国家教委博士点基金:基于因素空间的诊断识别专家系统,项目参与

  1992-1995  国家自然科学基金项目:基于因素空间的模糊控制理论,项目参与

  1991-1993  国家教委博士点基金项目:模糊逻辑与神经网络,项目参与

  1990-1993  国家自然科学基金项目:模糊落影理论与思维、知识表示,项目参与

  

  学术兼职

  中国运筹学分会模糊信息与工程专业委员会副理事长

  中国逻辑学会非经典逻辑与计算专业委员会委员

  中国防灾协会风险分析专业委员会委员

  北京师范大学学报(自然科学版)编委

  

  学术交流

  2018.7.8-17  访学  Faculty of Mathmatics and Information Science, Warsaw University of Technology, Porland.

  2018.7.1-7,  访学  Faculty of Economics and Informatics, University of Bialystok, Lithuania.

  2003-2004  访问学者  Electrical and engineering Department,University of Alberta, Canada.

  2003.6-2003.7  访学  Department of Computer Sciences,University of Regina, Canada.

  13th International Baltic conference on Database and information system, Jul.1-4, Lithuania.

  Joint 17 th World Congress of International Fuzzy Systems Association and 9 th International Conference on Soft Computing and Intelligent Systems, Jul. 27-30, Japan.

  

  联系方式

  Email:yufusheng@bnu.edu.cn