于福生

发布者:数学与统计学院发布时间:2019-07-28浏览次数:10

一、基本情况

于福生,男,1965年生,教授,博士生导师。

研究方向包括人工智能与模糊控制,知识工程和专家系统,诊断理论,知识发现与数据挖掘。近几年来主要从事信息的粒化处理和数据挖掘方面的研究,特别是基于信息粒化的时间序列的数据挖掘和基于因素空间理论的粒化研究。

作为项目组主要成员,先后参加了多项国家自然科学基金项目,博士点基金项目;作为主持人,先后承担了国家自然科学基金项目、北京市自然科学基金项目、国家科技攻关项目,省部级研究项目和其他研究项目。已在国内外学术期刊和会议上发表科研论文近100多篇。

 

二、科研项目

1.国家自然科学基金,批准号:11571001基于知识指导和模糊信息粒化的时序大数据分析和挖掘2016.1-2019.12,69万元,在研,主持。

2.北京市自然科学基金,批准号:4112031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, 2011.1-2013.12,11万元,已结题,主持。

3.国家自然科学基金,批准号:60775032基于优化模糊信息粒化的时间序列分析和数据挖掘,2008.1-2010.12,25万元,已结题,主持。

4.国家科技支撑计划项目(2008BAK49B05):自然灾害规则库管理系统,2008-201110万元,已结题,主持。

5.二炮研究项目:导弹装置故障诊断专家系统,1996-199820万元,已结题,主持。

6.学校青年基金项目:通用故障诊断专家系统开发工具的理论及开发研1998-19995万元,已结题,主持。

7.横向课题,10526400017,安全车联网市场需求和解决方案研究——碰撞预警系统决策算法及仿真验证开发,2015.01-2015.12100万元,已结题,参加。

8.学校重点项目,基于智能信息处理的微型飞行器控制及应用,2015-201730万元已结题,参加。

9.遥感科学国家重点实验室开放基金项目:遥感地表参数混合反演高效算法研究,2006-200710万元,已结题,参加。

10.国家自然科学基金项目:变论域模糊控制,1997-1999.

11.国家教委博士点基金:基于因素空间的诊断识别专家系统1995-199710万元,已结题,参加。

12.国家自然科学基金项目:基于因素空间的模糊控制理论,17万元,1992-1995,已结题,参加。

13.国家教委博士点基金项目:模糊逻辑与神经网络,1991-199310万元,已结题,参加。

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

15.国家教委重点项目:高等学校招生考试试题难度预测,1989-1991

16.国家自然科学基金重大项目,模糊信息处理与机器智能,科学基金项目, 1988.11991.12136万元,已结题,参加

三、代表性论著

  1. 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, Volume 125, 1 July 2019, Pages 293-304.

  2. Rui Wang, Fusheng Yu, Yanjun Liu, Jianyin Wang, Lian Yu, Liyun Zhao, A novel adaptive non-backstepping VUFC algorithm for a class of MIMO nonlinear systems with unknown dead-zones in pure-feedback form, Nonlinear Analysis-Hybrid Systems, 2019, Volume 31, 200-219.

  3. Shurong JIANG and Fusheng YU, New Knowledge-Transmission Mechanisms Based Horizontal Collaborative Fuzzy Clustering Algorithms for Unequal-Length Time Series, Databases and Information Systems, X, 2019,210-224.

  4. L. Duan, F. Yu, W. Pedrycz, X. Wang, X. Yang. Time-series clustering based on linear fuzzy information granules, Applied Soft Computing Journal, vol. 73, pp:1053-1067, 2018.

  5. 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)

  6. 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 IntelligenceVol. 32, No. 11 (2018)

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

  8. 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, Vol. 81, 1–27(2017)

  9. 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, Vol. 31, No. 12, 1934–1951. (2017)

  10. Shihu Liu, Fusheng Yu, and Patrick S. P. Wang, Rank factor granules with fuzzy collaborative clustering and factor space theoryInternational Journal of Pattern Recognition and Artificial Intelligence, Vol. 31, No. 6 (2017).

  11. Deqing Li, Wenyi Zeng, Junhong Li, Fusheng Yu, Note on hesitant fuzzy prioritized weighted operators, Journal of Intelligent & Fuzzy Systems, Vol. 30, No. 6, 3191-3196 (2016)

  12. Xiao Wang, Fusheng Yu, Witold Pedrycz, An area-based shape distance measure of time series, Applied Soft Computing, Vol.48, 650-659 (2016)

  13. Xiao Wang, Fusheng Yu, Huixin Zhang, Shihu Liu, Jiayin Wang, Large-scale time series clustering based on fuzzy granulation and collaborationInternational Journal Of Intelligent Systems, Vol. 30, 763–780 (2015).

  14. Rui Wang, Fusheng Yu, and Jiayin WangAdaptive non-backstepping fuzzy control for a class of uncertain nonlinear systems with unknown dead-zone input, Asian Journal of Control, Vol. 17, No. 4, 1394-1402. (2015)

  15. Shihu Liu, Xiaozhou Chen, Tauqir AhmedMoughal, and Fusheng Yu, Fuzzy collaborative clustering-based ranking approach for complex objects, Mathematical Problems in Engineering, Article ID 495829, 1-11 (2015)

  16. Tauqir Ahmed Moughal, Fusheng Yu, Abeer Mazher, Shihu Liu, Abdul Razzaqd, Enhanced detection of burned area using cross- and  autocorrelation, Journal of Applied Remote Sensing, Vol. 9, No. 1 (2015)  

  17. Toly Chen, T. Warren Liao, Fusheng Yu, Fuzzy collaborative intelligence and systems, International Journal of Intelligent Systems, Vol.30, No.6, 617-619 (2015)

  18. Xiyang Yang, Fusheng Yu, A type-2 fuzzy c-means algorithm and its application, Journal of University of Jinan(Sci. & Tech.), Vol.29, No.5, 372-276 (2015)

  19. Rui Wang, Fusheng Yu, JiaYin WangAdaptive non-backstepping fuzzy tracking control for a class of multiple-input–multiple-output pure-feedback systems with unknown dead-zonesIET Control Theory and Applications, Vol. 8, Iss. 14, 1293–1302 (2014)

  20. 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 Dynamics, 76:915–930 (2014)

  21. Shihu Liu, Fusheng Yu, Hesitation degree-based similarity measures for intuitionistic fuzzy sets, International Journal of Information and Communication Technology, Vol.6, No.1,7-22 (2014)

  22. Tauqir Ahmed Moughal, and Fusheng YuAn automatic unsupervised method based on context-sensitive spectral angle mapper for change detection of remote sensing imagesLecture Notes in Artificial Intelligence, Vol. 8933, 151–162 (2014)

  23. Weihua Xu, Shihu Liu, Fusheng Yu, Knowledge reduction in lattice-valued information systems with interval-valued intuitionistic fuzzy decision, International Journal on Artificial Intelligence Tools, Vol.22, No.1 (2013)

  24. Shihu Liu, Fusheng Yu, Weihua Xu, Wenxiu Zhang, New approach to MCDM under interval-valued intuitionistic fuzzy environment, International Journal of Machine Learning and Cybernetics,Vol.4, No.6, 671-678 (2013)

  25. Fusheng Yu, Xiao Wang, Huixin Zhang, Qiuxiang Zhao, Wenwen Wang, A novel forecasting method for long time series based on granulation and triple-3 algorithm, Journal of Pattern Recognition & Image Processing, Vol.3, 59-67, (2013)

  26. Xiyang Yang, Fusheng Yu, Kernal based semi-supervised clustering and its application in leave recognition of bauhinia blakeana leaves, Advanced materials research, 756-759 (2013)

  27. Dingyun FengFusheng YuXiao WangThe consistency degree of rule groups, Computer Science,Vol.40, No. 5, 45-47 (2013)

  28. Fusheng Yu, Shihu Liu, Decision-making model in the environment of complex structure data, Journal of Risk Analysis and Crisis Response, Vol. 3, No. 2 ,103-109 (2013)

  29. Xiyang Yang, Fusheng Yu, Fei You, Dimension reduction of fuzzy controller based on Fisher projection and variable universe method and its application on water level control, Fuzzy Systems and Mathematics, Vol.26, No. 5, 154-160 (2012)

  30. Xiao Wang, Fusheng Yu, Huixin Zhang, Yuming LiuKnowledge-guided clustering of large-scale time series under wavelet transformation, LNAI, Vol. 7530, 126-133 (2012)

  31. Shihu Liu, Fusheng Yu, Aggregation operator based MCDM with intuitionistic fuzzy information, Innovative theories and methods for risk analysis and crisis response, 411-416, (2012)

  32. Minghuang Li, Fusheng Yu, semidefinite programming-based method for implementing linear fitting to interval-valued data, International Journal of Fuzzy System Applications Vol.1, No.3, 32-46 (2011).

  33. Fangmin Wu, Liyang, Fusheng Yu, Fuzzy granulation based forecasting of time series, Fuzzy Information and Engineering, AISC, 511-520 (2010)

  34. Mingxin Zhang, Fusheng Yu, A new pairwise comparison based method of ranking lr-fuzzy numbers, Lecture Notes in Artificial Intelligence,Vol. 6320, 160-167 (2010)

  35. Fusheng Yu, Witold Pedrycz, The design of fuzzy information granules: tradeoff between specificity and experimental evidenceApplied Soft Computing, Vol.9, 264-273 (2009)

 

四、联系方式

E-mailyufusheng@bnu.edu.cn