A new approximate belief rule base expert system for complex system modelling. - You Cao; Zhi-Jie Zhou 001; Chang-Hua Hu; Shuaiwen Tang; Jie Wang 071 (Decis. Support Syst., 2021)

A fusion approach based on evidential reasoning rule considering the reliability of digital quantities. - Jie Wang 071; Zhi-Jie Zhou 001; Changhua Hu; Shuaiwen Tang; Wei He 008; Tengyu Long (Inf. Sci., 2022)

An Evidential Reasoning Rule Considering Parameter Uncertainty. - Jie Wang 071; Zhi-Jie Zhou 001; Chang-Hua Hu; Xiaoxia Han; Shuai-Wen Tang; Pengyun Ning (IEEE Trans. Aerosp. Electron. Syst., 2022)

A New Evidential Reasoning Rule With Continuous Probability Distribution of Reliability. - Jie Wang 071; Zhi-Jie Zhou 001; Chang-Hua Hu; Shuai-Wen Tang; You Cao (IEEE Trans. Cybern., 2022)

A Concurrent Fault Diagnosis Model via the Evidential Reasoning Rule. - Pengyun Ning; Zhi-Jie Zhou 001; You Cao; Shuaiwen Tang; Jie Wang 071 (IEEE Trans. Instrum. Meas., 2022)

An Evidential Reasoning Rule-Based Quality State Assessment Method of Complex Systems Considering Feature Selection. - Zhi-Jie Zhou 001; Pengyun Ning; Jie Wang 071; Chunchao Zhang; Zhichao Feng; Xiangyi Zhou 001 (IEEE Trans. Instrum. Meas., 2023)

Evidential Reasoning Rule With Likelihood Analysis and Perturbation Analysis. - Shuai-Wen Tang; Zhi-Jie Zhou 001; Guan-Yu Hu 001; You Cao; Pengyun Ning; Jie Wang 071 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Inference and analysis of a new evidential reasoning rule-based performance evaluation model. - Jie Wang 071; Zhi-Jie Zhou 001; Pengyun Ning; Shuai-Tong Liu; Xiang-Yi Zhou 001; Yu Zhao (Eng. Appl. Artif. Intell., 2023)

Inference, Optimization, and Analysis of an Evidential Reasoning Rule-Based Modeling Approach. - Jie Wang 071; Zhi-Jie Zhou 001; Zhichao Ming; Peng Zhang 089; Zheng Lian; Zhi-Gang Li (IEEE Trans. Aerosp. Electron. Syst., 2023)

Inference and analysis on the evidential reasoning rule with time-lagged dependencies. - Peng Zhang 089; Zhi-Jie Zhou 001; Zhichao Feng; Jie Wang 071; Yijun Zhang (Eng. Appl. Artif. Intell., 2023)

A health assessment method with attribute importance modeling for complex systems using belief rule base. - Zheng Lian; Zhi-Jie Zhou 001; Chang-Hua Hu; Jie Wang 071; Chun-Chao Zhang; Chao-Li Zhang (Reliab. Eng. Syst. Saf., 2024)

Inference Analysis on the Evidential Reasoning Rule Under Evidence Weight Variations. - Zhi-Jie Zhou 001; Peng Zhang 089; Jie Wang 071; Chun-Chao Zhang; Leiyu Chen; Pengyun Ning (IEEE Trans. Aerosp. Electron. Syst., 2024)

A Belief Rule-Based Performance Evaluation Model for Complex Systems Considering Sensors Disturbance. - Zheng Lian; Zhi-Jie Zhou 001; Changhua Hu; Zhichao Ming; Jie Wang 071; Yu Zhao (IEEE Trans. Reliab., 2024)

A new performance evaluation model based on approximate belief rule base with local uncertainty. - Jie Wang 071; Pengyun Ning; Zhi-Jie Zhou 001; Peng Zhang 089 (Adv. Eng. Informatics, 2025)

Statistical feature likelihood evidential reasoning rule for equipment health state assessment considering asynchronous unequal interval data. - Chaoli Zhang 002; Zhijie Zhou 001; Jiayu Luo; Jie Wang 071 (Inf. Sci., 2025)

Health Assessment of Complex Systems Based on the Evidential Reasoning Rule With Nonequidistant Data. - Pengyun Ning; Zhi-Jie Zhou 001; Jie Wang 071; Zi-Wen Wang; Zheng Lian; Yijie Sun (IEEE Trans. Instrum. Meas., 2025)

Large-Scale linguistic Z-Number Belief Rule Base Methodology for Multidimensional and Unreliable Knowledge Representation and Learning. - Zheng Lian; Zhichao Feng; Zhi-Jie Zhou 001; Changhua Hu; Shuaiwen Tang; Jie Wang 071 (IEEE Trans. Cybern., 2025)