| Failure mode and effects analysis based on a novel fuzzy evidential method W Jiang, C Xie, M Zhuang, Y Tang Applied Soft Computing 57, 672-683, 2017 | 222 | 2017 |
| Sensor data fusion with z-numbers and its application in fault diagnosis W Jiang, C Xie, M Zhuang, Y Shou, Y Tang Sensors 16 (9), 1509, 2016 | 162 | 2016 |
| Ranking Z-numbers with an improved ranking method for generalized fuzzy numbers W Jiang, C Xie, Y Luo, Y Tang Journal of Intelligent & Fuzzy Systems 32 (3), 1931-1943, 2017 | 110 | 2017 |
| A weighted belief entropy-based uncertainty measure for multi-sensor data fusion Y Tang, D Zhou, S Xu, Z He Sensors 17 (4), 928, 2017 | 93 | 2017 |
| An improved failure mode and effects analysis method based on uncertainty measure in the evidence theory D Wu, Y Tang Quality and Reliability Engineering International 36 (5), 1786-1807, 2020 | 81 | 2020 |
| A new base basic probability assignment approach for conflict data fusion in the evidence theory M Jing, Y Tang Applied Intelligence 51, 1056-1068, 2021 | 77 | 2021 |
| Sensor data fusion based on a new conflict measure W Jiang, B Wei, X Qin, J Zhan, Y Tang Mathematical Problems in Engineering 2016 (1), 5769061, 2016 | 63 | 2016 |
| A modified belief entropy in Dempster-Shafer framework D Zhou, Y Tang, W Jiang PloS one 12 (5), e0176832, 2017 | 57 | 2017 |
| A detection method for android application security based on TF-IDF and machine learning H Yuan, Y Tang, W Sun, L Liu Plos one 15 (9), e0238694, 2020 | 52 | 2020 |
| A new approach for generation of generalized basic probability assignment in the evidence theory Y Tang, D Wu, Z Liu Pattern Analysis and Applications 24 (3), 1007-1023, 2021 | 50 | 2021 |
| A new classification method based on the negation of a basic probability assignment in the evidence theory D Wu, Z Liu, Y Tang Engineering Applications of Artificial Intelligence 96, 103985, 2020 | 49 | 2020 |
| Ordered visibility graph average aggregation operator: An application in produced water management W Jiang, B Wei, Y Tang, D Zhou Chaos: An Interdisciplinary Journal of Nonlinear Science 27 (2), 2017 | 47 | 2017 |
| AMWRPN: Ambiguity measure weighted risk priority number model for failure mode and effects analysis Y Tang, D Zhou, FTS Chan IEEE access 6, 27103-27110, 2018 | 46 | 2018 |
| An improved failure mode and effects analysis method using belief Jensen–Shannon divergence and entropy measure in the evidence theory Y Tang, S Tan, D Zhou Arabian Journal for Science and Engineering 48 (5), 7163-7176, 2023 | 45 | 2023 |
| Failure mode and effects analysis based on Z-numbers W Jiang, C Xie, B Wei, Y Tang Intelligent Automation & Soft Computing, 1-8, 2017 | 45 | 2017 |
| A new fuzzy-evidential controller for stabilization of the planar inverted pendulum system Y Tang, D Zhou, W Jiang PloS one 11 (8), e0160416, 2016 | 43 | 2016 |
| A modified model of failure mode and effects analysis based on generalized evidence theory D Zhou, Y Tang, W Jiang Mathematical Problems in Engineering 2016 (1), 4512383, 2016 | 42 | 2016 |
| An improved belief entropy and its application in decision‐making D Zhou, Y Tang, W Jiang Complexity 2017 (1), 4359195, 2017 | 41 | 2017 |
| Measuring uncertainty in the negation evidence for multi-source information fusion Y Tang, Y Chen, D Zhou Entropy 24 (11), 1596, 2022 | 40 | 2022 |
| A new distance-based total uncertainty measure in Dempster-Shafer evidence theory R Li, Z Chen, H Li, Y Tang Applied Intelligence 52 (2), 1209-1237, 2022 | 40 | 2022 |
Shuai XuZhejiang University在 zju.edu.cn 的电子邮件经过验证
