合肥工业大学主页平台管理系统 zhangqiang--Home--Paper Publications

张强

Professor

Administrative Position:院长

Education Level:With Certificate of Graduation for Doctorate Study

Business Address:合肥工业大学（屯溪路校区）智能制造与工程管理学科楼 12层1206房间

Degree:Doctoral degree

Status:Employed

Alma Mater:法国斯特拉斯堡大学/国立斯特拉斯堡应用科学院

Discipline:Other specialties in Management Science and Engineering

Recommended Ph.D.Supervisor Recommended MA Supervisor Team Member

Paper Publications

Current position: Home > Scientific Research > Paper Publications

[1] zhangqiang，caizhengyang,zhaoshuangyao，高端装备智能制造价值链的生产自组织与协同管理：设计制造一体化协同研发实践:管理世界,2023
[2] 张强，张伟佳，王安宁，Review-driven configuration scheme evaluation methodology with configuration interaction effects:Advanced Engineering Informatics,2023
[3] 丁贾明，张强，王安宁，oint multi-view character embedding model for named entity recognition of Chinese car reviews:Neural Computing and Applications,2023
[4] 黄挺，唐孝安,张强，An Automatic Consensus Reaching Approach With Preference Adjustment Willingness for Group Decision-Making:IEEE Transactions on Fuzzy Systems,2023
[5] 黄挺，zhangqiang，tangxiaoan，Linguistic information granular computing based on a tournament selection operator-guided PSO for supporting MAGDM with distributed linguistic preference relations:Information sciences
[6] 方钊，ysl,wanganning，zhangqiang，Author links open overReferent graph embedding model for name entity recognition of Chinese car reviews:Knowledge-Based Systems
[7] zhangqiang，Huang Ting，tangxiaoan，A Linguistic Information Granulation Model and Its Penalty Function-Based Co-Evolutionary PSO Solution Approach for Supporting GDM with Distributed Linguistic Preference Relations,.[J:Information Fusion,2021,77):118-132.
[8] Ting Huang，Qiang Zhang，A novel fault diagnosis method based on CNN and LSTM and its application in fault diagnosis for complex systems.[J:Artificial Intelligence Review,2021
[9] Qiang Zhang，Desheng Wu，A new method for measuring process flexibility of product design.[J:International Transactions in Operational Research,2017
[10] Qiang Zhang，Zhanglin Peng，An adaptive agent-based process model for optimizing innovative design.[J:Optimization Letters,2019

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