陈芦园

Email:chenluyuanuestc@hotmail.com, chen_luyuan@njfu.edu.cn

办公电话:

研究领域:信息融合;智能决策推理;不确定人工智能

职务:

系科:物联网工程系

个人简历:

陈芦园,南京林业大学信息科学技术学院、人工智能学院。本硕分别毕业于西南大学和西北工业大学,2024年6月在电子科技大学获得工学博士学位,期间2023年赴意大利罗马大学公派联合培养一年。主要从事信息融合、智能决策推理和不确定人工智能等领域的研究工作,研究成果以第一作者身份在Information Sciences, Knowledge-based System, Engineering Applications of Artificial Intelligence等刊物上发表论文10余篇。


课题组有意招聘本科生科研助理,尤其欢迎有出国深造和外校保研打算的本科生,课题组可以为其提供科研平台增加自己的科研经历、发表学术论文、参加学术会议和发表专利等。特别优秀的同学可以推荐至国内外合作院校攻读硕博,例如国内合作的电子科技大学、西北工业大学、西北农林科技大学和重庆大学等,国外高校有曼彻斯特大学、罗马大学、荷兰莱顿大学和比利时根特大学等。欢迎有意愿的同学主动和我邮件联系。



论文和专著:

— Luyuan, Chen, Yong Deng*. Entropy of Random Permutation Set. Communications in Statistics-Theory and Methods, 2023: 1-19. (Highly Cited Paper, 中科院4区)

— Luyuan, Chen, Yong Deng*, and Kang Hao Cheong*. The Distance of Random Permutation Set. Information Sciences, 2023, 628: 226-239. (中科院1区top)

— Luyuan, Chen, Yong Deng*. GDTRSET: a generalized decision-theoretic rough sets based on evidence theory. Artificial Intelligence Review, 2023: 1-22.(中科院2区top)

—  Luyuan, Chen, Yong Deng*, and Kang Hao Cheong*. Permutation Jensen–Shannon divergence for random permutation set. Engineering Applications of Artificial Intelligence, 2023, 119: 105701. (中科院2区top)

— Luyuan, Chen, Yong Deng*. A new probability transformation approach of mass function. Soft Computing, 2023: 1-10. (中科院3区)

— Luyuan, Chen, Yong Deng*. An improved evidential Markov decision making model. Applied Intelligence. 2022 52(7): 8008-8017. (中科院2区)

— Luyuan, Chen, Yong Deng*, and Kang Hao Cheong*. Probability transformation of mass function: A weighted network method based on the ordered visibility graph. Engineering Applications of Artificial Intelligence. 2021 105: 104438. (中科院2区top)

— Luyuan, Chen,  Hui Yu*. Emergency alternative selection based on an E-IFWA approach[J]. IEEE Access, 2019, 7: 44431-44440. (中科院2区)

— Luyuan Chen, Zhen Li, Xinyang Deng*. Emergency alternative evaluation under group decision makers: a new method based on entropy weight and DEMATEL. International journal of systems science, 2020, 51(3): 570-583. (中科院4区)

— Luyuan, Chen, Yong Deng*. A new failure mode and effects analysis model using Dempster–Shafer evidence theory and grey relational projection method. Engineering Applications of Artificial Intelligence, 2018, 76: 13-20. (Highly Cited Paper, 中科院2区top)

— Luyuan, Chen, Xinyang Deng*. A modified method for evaluating sustainable transport solutions based on AHP and Dempster–Shafer evidence theory. Applied Sciences, 2018, 8(4): 563. (Highly Cited Paper, 中科院3区)

—  Luyuan, Chen, Xinyi Zhou, Fuyuan Xiao, et al. Evidential analytic hierarchy process dependence assessment methodology in human reliability analysis. Nuclear Engineering and Technology, 2017, 49(1): 123-133. (中科院4区)

— Hui Yu*, Luyuan, Chen, and JingTao Yao. A three-way density peak clustering method based on evidence theory. Knowledge-Based Systems, 2021 211: 106532. (中科院1区top)

—  Hui Yu*, Luyuan, Chen, and JingTao Yao. A three-way clustering method based on an improved DBSCAN algorithm. Physica A: Statistical Mechanics and its Applications, 2019 535: 122289. (中科院3区)

— Zhen Li*, Luyuan, Chen. A novel evidential FMEA method by integrating fuzzy belief structure and grey relational projection method. Engineering applications of artificial intelligence, 2019, 77: 136-147. (中科院2区top)

— Bingguang Hao, Yuelin Che, Luyuan, Chen, Yong Deng*. A generalized Renyi entropy to measure the uncertainty of a random permutation set. Communications in Statistics-Theory and Methods 2023: 1-13. (中科院4区)

—  Liguo Fei, Hongping Wang, Luyuan, Chen, Yong Deng*. A new vector valued similarity measure for intuitionistic fuzzy sets based on OWA operators. Iranian Journal of Fuzzy Systems, 2019, 16(3): 113-126. (中科院4区)

— Luyuan Chen, Yong Deng*. A new entropy-based uncertainty measure for rough set. Fuzzy Systems and Data Mining, Proceedings of FSDM 2023. (EI会议)

— Hui Yu, Luyuan Chen, Xi Cao, et al., Identifying top-k important nodes based on probabilistic-jumping random walk in complex networks, The Sixth International Conference on Complex Networks and Their Applications, (2018). (EI会议)


科研项目:

[1] 2024年一流学科-水杉师资科研启动费,主持,在研

[2] 西北工业大学研究生创意创新种子基金, 主持,结题


教授课程:

人工智能导论