科研项目: [1] 重庆市科委基础研究与前沿探索(面上项目), cstc2019jcyj-msxmX0355, 不确定性推理中不完备和不一致性问题的解决方法研究, 2019/07 至2022/06, 10万元, 已结题, 主持; [2] 重庆市教育委员会巴渝海外引智计划, 2017/10-2018/09, 10万元, 已结题, 主持 [3] 重庆市教委科学技术研究项目, KJ1713329,基于模糊插值的双向近似推理的关键技术研究,2017/01-2018/12,,6万元,已结题,主持 [4] 重庆科技学院博士教授科研启动基金项目,CK2016B02,双向近似推理在处理大数据环境中不完备不一致问题及决策方法的研究及应用,2016/06-2019/06, 6万元,已结题,主持 [5] 国家自然科学基金委员会, 面上项目, 61873043, 模糊循环神经网络和驾驶人疲劳特征空间机理研究,2019/01 至 2022/12, 60万元, 在研, 主研 |
代表性论文: [1] Shangzhu Jin; Peng Jun; LiZuojin; Shen Qiang; Bidirectional approximate reasoning-basedapproach for decision support, Information Sciences, 2019, 506:99-112 (SCI一区) [2]Shangzhu Jin; Shen Qiang; Peng Jun; Backward Fuzzy Rule Interpolation (book), Springer斯普林格出版社, 2018 (专著) [3]Shangzhu Jin, Ren Diao, Chai Quek, and Qiang Shen, Backward Fuzzy Rule Interpolation, IEEE Transactions on Fuzzy Systems, Vol. 22, no. 6, pp. 1682-1698, 2014.(SCI一区) [4]Shangzhu Jin,Sheng Yu, Jun Peng, ,Hongyi Wang, Yan Zhao, A novel medical image segmentation approach by using multi-branch segmentation network based on local and globainformation svnchronous learning, Scientific reports, Volume: 13 lssue: 1 Page: 6762, 2023. (SCI二区) [5]Changhong Jiang,Shangzhu Jin(通讯作者), Changjing Shang, Qiang Shen, Towards utilization of rule base structure to support fuzzy rule interpolation, Expert Systems, 2022, 1-13 (SCI四区) [6]Mou Zhou, Shang Changjing, Shangzhu Jin, Peng, Jun,Qiang Shen. Transformation-Based Fuzzy Rule Interpolation With Mahalanobis Distance Measures Supported by Choquet Integral, IEEE Transactions on Fuzzy Systems. 2022, doi: 10.1109/TFUZZ.2022.3194368.(SCI一区) [7]Shangzhu Jin, Ren Diao, Qiang Shen, “Backward Fuzzy Interpolation and Extrapolation with Multiple Multi-antecedent Rules”, 2012 International Conference on Fuzzy Systems (IEEE-WCCI), 2012, pp. 1-8. (BEST PAPER AWARD,最佳论文奖,会议共接收1124篇论文,只评出2篇最佳论文,这篇论文是其中之一) |