高飞

教育及工作经历：

2016年9月-2021年12月 西北工业大学 工学博士

2022年8月-至今       山东交通学院   讲师

研究方向：

飞行器控制与信息工程：复杂体系建模与仿真、航空武器控制、武器装备评估。

获奖：

1. 高飞, 空面攻击综合火控精确打击技术, 工业和信息化部, 国防科学技术进步奖, 二等奖, 2017, 9/10.

发表文章：

1. Fei Gao*, Shuida Bao, Wenhao Bi, Assessing dependence in human reliability analysis using probabilistic linguistic term sets, Annals of Nuclear Energy 175: 109261 (2022).

2. Wenhao Bi*, Fei Gao, An Zhang, and Shuida Bao, A framework for extended belief rule base reduction and training with the greedy strategy and parameter learning, 81(8): 11127-11143 (2022).

3. Wenhao Bi*, Fei Gao, and An Zhang, A novel weapon system effectiveness assessment method based on the interval-valued evidential reasoning algorithm and the analytical hierarchy process, IEEE Access, 9: 53480–53490 (2021).

4. Fei Gao, An Zhang*, Wenhao Bi, and Junwen Ma, A greedy belief rule base generation and learning method for classification problem, Applied Soft Computing, 98: 106856 (2021).

5. Wenhao Bi*, Fei Gao, An Zhang, and Mi Yang, Dependence assessment in human reliability analysis based on the interval evidential reasoning algorithm Under interval uncertainty, IEEE Access, 8: 222187–222198 (2020).

6. Fei Gao, An Zhang*, and Wenhao Bi, Weapon system operational effectiveness evaluation based on the belief rule-based system with interval data, Journal of Intelligent & Fuzzy Systems, 39 (5): 6687–6701 (2020).

7. An Zhang, Fei Gao*, Mi Yang, and Wenhao Bi, Belief rule-based dependence assessment method under interval uncertainty, Quality and Reliability Engineering International, 36 (7): 2459–2477 (2020).

8. An Zhang, Fei Gao, Mi Yang, and Wenhao Bi*, A new rule reduction and training method for extended belief rule base based on DBSCAN algorithm, International Journal of Approximate Reasoning, 119: 20–39 (2020).