陈锦坤

作者: 时间:2020-04-06 点击数:

陈锦坤,博士,教授,硕士生导师。福建省人工智能协会理事、漳州市数学学会常务理事。目前主要从事不确定性的理论研究工作。主持福建省自然科学基金2项,福建省重点建设高校和福建省教育厅A类项目各1项,参与国家自然科学基金4项(均排名前3)。近年来先后发表论文30多篇,其中以第一作者或通讯作者的身份发表A类论文10余篇。作为《数学建模》课程建设和“大学生数学建模竞赛”的主要负责人,近5年,所组织的学生获得全国大学生数学建模竞赛全国一等奖4项,全国二等奖12项,福建省一等奖22项和福建省二等奖35项。美国大学生数学建模竞赛国际二等奖和三等奖各3项。个人被评为全国大学生数学建模竞赛福建赛区优秀组织工作者,同时也被评为全国大学生数学建模竞赛福建赛区优秀指导教师。

部分主要文章:

[1]J Chen, Y Lin, J Mi, S Li, W Ding. A Spectral Feature Selection Approach with Kernelized Fuzzy Rough Sets. IEEE Transactions on Fuzzy Systems, 2022.

[2]J Chen, J Mi, B Xie, Y Lin. Attribute reduction in formal decision contexts and its application to finite topological spaces.International Journal of Machine Learning and Cybernetics, 2021.

[3]J Chen, J Mi, Y Lin. A graph approach for fuzzy-rough feature selection. Fuzzy Sets and Systems, 2020.

[4]J Chen, Mi, B Xie, Y Lin. A fast attribute reduction method for large formal decision contexts, International Journal of Approximate Reasoning, 2019.

[5]J Chen, J Mi, Y Lin. A graphapproach for knowledge reduction in formal contexts. Knowledge-Based Systems, 2018.

[6]J Chen, Y Lin, G Lin, J Li, Y Zhang. Attribute reduction of covering decision systems by hypergraph model. Knowledge-Based Systems, 2017.

[7]J Chen, Y Lin, J Li, G Lin, A Tan. A rough set method for the minimum vertex cover problem of graphs. Applied Soft Computing, 2016.

[8]J Chen, Y Lin, G Lin, J Li, Z Ma. The relationship between attribute reducts in rough sets and minimal vertex covers of graphs. Information Sciences, 2015.

[9]J Chen, J Li, Y Lin, G. Lin, Z Ma.Relations of reduction between covering generalized rough sets and concept lattices. Information Sciences, 2015.

[10]J Chen, J Li, Y Lin.Computing connected components of simple undirected graphs based on generalized rough sets. Knowledge-Based Systems, 2013.

[11]J Chen, J Li, Y Lin.On the structure of definable sets in covering approximation spaces. International Journal of Machine Learning and Cybernetics, 2013.

[12]J Chen, J Li.An application of rough sets to graph theory. Information Sciences, 2012.

[13] Z Xian,J Chen* (通讯作者). Relative Relation Matrix-based Approaches for Updating Approximations in Multigranulation Rough Sets. Filomat, 2020.

[14] Y Sun, J Mi,J Chen, W Liu. A new fuzzy multi-attribute group decision-making method with generalized maximal consistent block and its application in emergency management. Knowledge-Based Systems, 2021.

[15] S Bai, Y Lin, Y Lv,J Chen. Kernelized fuzzy rough sets based online streaming feature selection for large-scale hierarchical classification. Applied Intelligence, 2021.

[16] A Tan, W Wu,Y Qian,J Liang,J Chen,J Li.Intuitionistic Fuzzy Rough Set-Based Granular Structures and Attribute Subset Selection. IEEE Transactions on Fuzzy Systems, 2019.

[17]Y Lin,J Li,M Lin,J Chen.A new nearest neighbor classifier via fusing neighborhood information. Neurocomputing, 2014.

[18]李进金,张燕兰,吴伟志,陈锦坤.形式背景与协调决策形式背景属性约简与概念格生成.计算机学报, 2014.

[19]谭安辉,李进金,陈锦坤,林国平.图支配集问题的粗糙集属性约简方法.模式识别与人工智能, 2015.

[20]林耀进,李进金,陈锦坤,马周明.融合邻域信息的k-近邻分类.智能系统学报, 2014.

[21]马周明,张海洋,陈锦坤,李进金.粗糙集的阶梯式近似.模式识别与人工智能, 2019.

部分主持和参与的科研项目:

1.面向大规模数据的概念格属性约简理论与方法研究,福建省自然科学基金项目,2020.4-2023.4,主持.

2.基于超图顶点覆盖方法的高维数据属性约简研究,福建省自然科学基金项目,2016.4-2019.4,主持(结题)

3.概念格的属性约简理论与方法研究,福建省资助省属高校科研项目,2013.6-2016.6,主持(结题)

4.覆盖粗糙集方法在图的最小顶点覆盖问题中的应用研究,福建省教育厅A类科技项目,2013.6-2016.6,主持(结题)

5.基于覆盖粗糙集的网络拓扑图中最小顶点覆盖问题的研究,国家自然科学基金面上项目,2014.1-2017.12,参与(排名第3)

6.基于粒计算的多模态多标记数据分类建模研究,国家自然科学基金面上项目,2017.1-2020.12,参与(排名第2)

7.开放动态环境下层次结构数据分类学习的粒计算方法,国家自然科学基金面上项目,2021.1-2024.12,参与(排名第2)

8.面向多源数据的多粒度计算方法研究,国家自然科学基金青年项目,2016.1-2019.12,参与(排名第2)

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