D Xie, F Xiao, W Pedrycz - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Abstract Information quality has attracted increasing attention in recent years. In this paper, we propose a measure to quantify the information quality of intuitionistic fuzzy information …
Abstract In Reliability-based Multidisciplinary Design Optimization (RBMDO), the key performance functions of wind turbine are usually implicit, which means the performance …
X Song, F Xiao - Applied Intelligence, 2022 - Springer
Combining basic probability assignments (BPAs) with time series is common in real-life cases. Therefore, a new evidence fusion approach based on belief entropy and a visibility …
C Zhu, F Xiao - Engineering Applications of Artificial Intelligence, 2021 - Elsevier
Abstract Dempster–Shafer (D–S) evidence theory has been studied and applied broadly, owing to its advantage of effectively handling uncertainty problems in multisource …
D Meng, S Yang, T Lin, J Wang… - Computer Modeling in …, 2022 - cdn.techscience.cn
Actual engineering systems will be inevitably affected by uncertain factors. Thus, the Reliability-Based Multidisciplinary Design Optimization (RBMDO) has become a hotspot for …
D Meng, Z Lv, S Yang, H Wang, T Xie, Z Wang - Structures, 2021 - Elsevier
In mechanical engineering, most mechanical structural systems are composed of many parts, so their structures are complex. When a mechanical structure fails, it is generally …
X Liu, T Li, Z Zhou, L Hu - Computer Methods in Applied Mechanics and …, 2022 - Elsevier
An efficient multi-objective reliability-based design optimization (MO-RBDO) method is proposed based on the probability and interval hybrid model. With probability variables …
C Wang, H Fan, X Qiang - Symmetry, 2023 - mdpi.com
The design of aerospace systems is recognized as a complex interdisciplinary process. Many studies have shown that the exchange of information among multiple disciplines often …