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张晓燕
发布时间: 2024年01月02日 15时40分  作者:   来源:   浏览次数:


               

姓名:张晓燕                     性别:女

学历:博士                      职称:教授

部门:智能科学系                   邮箱:zhangxiaoyan@swu.edu.cn  

研究方向:人工智能的数学基础、智能计算、粒计算、数据挖掘、知识发现、不确定性处理等。




张晓燕,博士,教授,硕士生导师,澳门科技大学访问学者,中国计算机学会会员,中国人工智能学会粒计算与知识发现专业委员会委员,中国人工智能学会人工智能基础专业委员会委员,国家自然科学基金通信评议专家,国际重要期刊《Information Sciences》、《Fuzzy Sets and Systems》、《Knowledge-Based Systems》等审稿人,在国内外重要学术期刊上发表学术论文60余篇,其中SCI检索40余篇(次),分别以独著、第一主编、第二主编出版4部著作;作为负责人主持3项国家自然科学基金、多项省部级科技项目等。同时,参编1部全国高等农林院校“十三五”规划教材,获首届全国高校数学微课程教学设计竞赛全国“一等奖”、西南赛区“特等奖”,重庆市高校微课教学比赛“一等奖”,重庆市普通本科院校青年教师教学技能大赛“二等奖”、122cc太阳集成游戏“线上优质课程”1门,并以第一完成人身份获校级教学成果“三等奖”1项,2021年获122cc太阳集成游戏首届“金牌讲习者”称号,多次荣获校级“优秀教师”、“优秀科研工作者”、“优秀党务工作者”等荣誉称号。

一、 讲授课程

数学分析、常微分方程、高等数学、线性代数、概率论与数理统计、模糊数学、计算理论、粗糙集理论与方法、信息系统与知识发现、粒计算基础、不确定性分析等。

二、 科研项目

1. 主持国家自然科学基金面上项目:动态复杂数据的多粒度建模与知识获取研究(12371465),20241月—20712

2. 主持国家自然科学基金面上项目:多粒度框架下带偏好直觉模糊数据集的信息融合与知识发现研究(61772002),20181月—202112

3. 主持并完成国家自然科学基金青年基金:面向带偏好直觉模糊数据的粒计算与知识获取研究(61402064),20151月—201712

4. 主持重庆市自然科学基金面上项目:多粒度视角下大规模复杂数据的样例选择与知识发现研究(CSTB2023NSCQ-MSX1063),20236月—202612

5. 主持并完成重庆市自然科学基金项目:直觉模糊环境下带偏好信息系统的决策分析研究(cstc2013jcyja40051)20136月—201512

6. 主持重庆市教委科技项目:基于粗糙集与证据理论的模糊决策及不确定性研究(KJ1709221),20171月—201912

三、 近期代表性论著

1. Zhang Xiaoyan, Li Jirong. Incremental feature selection approach to interval-valued fuzzy decision information systems based on λ-fuzzy similarity self-information. Information Sciences. Information Sciences, 2023, 625: 593-619. (IF:8.233, JCR:Q1, 中科院1区,TOP期刊)

2. Zhang Xiaoyan, Huang Xudong, Xu WeihuaMatrix-based multi-granulation fusion approach for dynamic updating of knowledge in multi-source information. Knowledge-Based Systems, 2023, 262: 110257. (IF:8.139, JCR:Q1, 中科院1区,TOP期刊)

3. Zhang Xiaoyan, Hang Yuyang. Optimal scale selection and knowledge discovery in generalized multi-scale decision tables. International Journal of Approximate Reasoning. 2023, 161: 108983. ( IF:4.452, JCR:Q2, 中科院2)

4. Zhang Xiaoyan, Hou Jianglong. A novel rough set method based on adjustable-perspective dominance relations in intuitionistic fuzzy ordered decision tables. International Journal of Approximate Reasoning. 2023, 154: 218-241. ( IF:4.452, JCR:Q2, 中科院2)

5. Zhang Xiaoyan, Guo Doudou, Xu Weihua. Two-way concept-cognitive learning with multi-source fuzzy context. Cognitive Computation. 2023, 1515261548 . ( IF:5.4, JCR:Q2, 中科院2)

6. Zhang Xiaoyan, Jiang Zongying, Xu Weihua. Feature selection using a weighted method in interval-valued decision information systems. Applied Intelligence, 2023, 53(9): 9858-9877. (IF:5.3, JCR:Q2, 中科院2)

7. Zhang Xiaoyan, Chen Xiuwei, Xu WeihuaDing Weiping. Dynamic information fusion in multi-source incomplete interval-valued information system with variation of information sources and attributes. Information Sciences, 2022, 608: 1-27. (IF:8.233, JCR:Q1, 中科院1区,TOP期刊)

8. Zhang Xiaoyan, Li Jirong, Mi Jusheng. Dynamic updating approximations approach to multi-granulation interval-valued hesitant fuzzy information systems with time-evolving attributes. Knowledge-Based Systems, 2022, 238: 107809.( IF:8.139, JCR:Q1, 中科院1区,TOP期刊)

9. Zhang Xiaoyan, Hou Jianglong. A novel rough set method based on adjustable-perspective dominance relation in intuitionistic fuzzy ordered decision table. International Journal of Approximate Reasoning, 2023, 154:218-241. ( IF:4.452, JCR:Q2, 中科院2)

10. Zhang Xiaoyan, Hou Jianglong, Li Jirong. Multigranulation rough set methods and applications based on neighborhood dominance relation in intuitionistic fuzzy datasets. International Journal of Fuzzy Systems, 2022, 24(8): 3602-3625. (IF: 4.085, JCR:Q1)

11. Zhang Xiaoyan, Li Jirong, Wu Mingling. Multi-granulation interval-valued fuzzy rough set model under hesitant environment. Journal of Nonlinear and Convex Analysis, 2021, 22(10): 2231-2245. (IF: 1.016, JCR: Q2)

12. Zhang Xiaoyan, Wei Ling, Xu Weihua. Attributes reduction and rules acquisition in a lattice-valued information system with fuzzy decision. International Journal of Machine Learning and Cybernetics. 2017, 8(1): 135-148. (IF:4.377, JCR:Q2)

13. Li Zhen, Zhang Xiaoyan*. Multiple granulation rough set approach to interval-valued intuitionistic fuzzy ordered information systems. Symmetry, 2021, 13, 949. (IF: 2.94, JCR:Q2)

14. Lin Bingyan, Zhang Xiaoyan*, et al, Dynamically updating approximations based on multi-threshold tolerance relation in incomplete interval-valued decision information systems. Knowledge and Information Systems, 2020, 62(3): 1063- 1087. (IF: 2.531, JCR:Q3)

15. Zhang Jia, Zhang Xiaoyan*, et al. Local multigranulation decision-theoretic rough set in ordered information systems. Soft Computing. 2019, 23(4): 13247-13261. (IF:3.732, JCR: Q2)

16. Zhang Jia, Zhang Xiaoyan*, Partially consistent reduction based on discernibility information tree in interval-valued fuzzy ordered information systems with decision. Journal of Nonlinear and convex analysis, 2019, 20(6):1077-1087. (IF:1.016 , JCR:Q2)

17. Yang Lei, Zhang Xiaoyan*, et al. Multi-granulation rough sets and uncertainty measurement for multi-source fuzzy information system. International Journal of Fuzzy Systems, 2019, 21(6):1919-1937. (IF:4.085, JCR:Q2)

18. Lin Bingyan, Zhang Xiaoyan*. Relative reduction of incomplete interval-valued decision information systems associated with evidence theory. Journal of Information Sciences and Engineering, 2019, 35(6): 1377-1396. (IF:1.142, JCR:Q4)

19. Zhang Jia, Zhang Xiaoyan*, Xu Weihua, Lower approximation reduction based on discernibility information tree in inconsistent ordered decision information systems. Symmetry, 2018, 10(12): 696. (IF:2.94, JCR:Q2)

20. Sang Binbin, Zhang Xiaoyan*, Xu Weihua. Attribute reduction of relative knowledge granularity in intuitionistic fuzzy ordered decision table, Filomat, 2018, 32(5): 1727-1736. (IF:0.988, JCR:Q2)

21. Zhang Xiaoyan, Wei Ling, Xu Weihua. Attributes reduction and rules acquisition in a lattice-valued information system with fuzzy decision, International Journal of Machine Learning and Cybernetics. 2017, 8(1): 135-148. (IF:4.377, JCR:Q2)

22. Li Mengmeng, Zhang Xiaoyan*, Information Fusion in a Multi-source incomplete information system based on information entropy. Entropy, 2017, 19(11), 570, DOI: 10.3390/e19110570. (IF:2.738, JCR:Q2)

23. 张晓燕,匡洪毅. 区间值序决策表的条件熵属性约简. 山西大学学报(自然科学版). 2023,461):101-107. (CSCD)

24. 张晓燕,王佳一. 属性聚类下三支概念的对比. 计算机应用. 2023,43(05): 1336-1341. (CSCD)

25. 张晓燕, 刘铮, 侯江龙. 直觉模糊偏好度量序决策表的近似约简. 122cc太阳集成游戏学报(自然科学版), 202244(9): 168-177.CSCD

26. 杨蕾, 张晓燕*, 徐伟华. 区间值序信息系统中差别信息树的属性约简. 计算机科学与探索, 2019, 13(6): 1062-1069.CSCD

27. 杨蕾, 张晓燕*, 徐伟华. 序决策信息系统中基于差别信息树的分配约简方法, 郑州大学学报(理学版), 2019, 51(2): 84-89. CSCD

28. 张晓燕,史德容,魏玲,格值信息系统的知识分辨度与信息熵.计算机科学与探索. 2017,11 (8): 1340-1346.CSCD

29. 张晓燕,桑彬彬,魏玲,格值信息系统的粗糙熵与不确定度量.计算机科学.2017,44 (9): 88-92. CSCD

四、 学生指导

指导在校本科生公开发表SCI高水平学术论文多篇,指导多名研究生获“国家研究生奖学金”、重庆市研究生创新基金项目等,多名研究生获国内外学术会议“最佳学生论文奖”、“优秀论文奖”等,并指导多名硕士研究生攻读博士研究生。