Multi-attribute search framework for optimizing extended belief rule-based systems. - Long-Hao Yang; Ying-Ming Wang 001; Qun Su; Yang-Geng Fu; Kwai-Sang Chin (Inf. Sci., 2016)

Dynamic rule adjustment approach for optimizing belief rule-base expert system. - Ying-Ming Wang 001; Long-Hao Yang; Yang-Geng Fu; Lei-Lei Chang 001; Kwai-Sang Chin (Knowl. Based Syst., 2016)

A disjunctive belief rule-based expert system for bridge risk assessment with dynamic parameter optimization model. - Long-Hao Yang; Ying-Ming Wang 001; Lei-Lei Chang 001; Yang-Geng Fu (Comput. Ind. Eng., 2017)

A data envelopment analysis (DEA)-based method for rule reduction in extended belief-rule-based systems. - Long-Hao Yang; Ying-Ming Wang 001; Yi-Xin Lan; Lei Chen 059; Yang-Geng Fu (Knowl. Based Syst., 2017)

Extended belief-rule-based system with new activation rule determination and weight calculation for classification problems. - Long-Hao Yang; Jun Liu 001; Ying-Ming Wang 001; Luis Martínez-López 001 (Appl. Soft Comput., 2018)

A consistency analysis-based rule activation method for extended belief-rule-based systems. - Long-Hao Yang; Ying-Ming Wang 001; Yang-Geng Fu (Inf. Sci., 2018)

A joint optimization method on parameter and structure for belief-rule-based systems. - Long-Hao Yang; Ying-Ming Wang 001; Jun Liu 001; Luis Martínez 001 (Knowl. Based Syst., 2018)

Fuzzy rule based system with feature extraction for environmental governance cost prediction. - Fei-Fei Ye; Long-Hao Yang; Ying-Ming Wang 001 (J. Intell. Fuzzy Syst., 2019)

New activation weight calculation and parameter optimization for extended belief rule-based system based on sensitivity analysis. - Long-Hao Yang; Jun Liu 001; Ying-Ming Wang 001; Luis Martínez-López 001 (Knowl. Inf. Syst., 2019)

A minimum centre distance rule activation method for extended belief rule-based classification systems. - Haizhen Zhu; Mingqing Xiao 003; Long-Hao Yang; Xilang Tang; Yajun Liang; Jianfeng Li 008 (Appl. Soft Comput., 2020)

An environmental pollution management method based on extended belief rule base and data envelopment analysis under interval uncertainty. - Fei-Fei Ye; Long-Hao Yang; Ying-Ming Wang 001; Lei Chen 059 (Comput. Ind. Eng., 2020)

Ensemble belief rule base modeling with diverse attribute selection and cautious conjunctive rule for classification problems. - Long-Hao Yang; Fei-Fei Ye; Ying-Ming Wang 001 (Expert Syst. Appl., 2020)

Extended belief rule-based model for environmental investment prediction with indicator ensemble selection. - Fei-Fei Ye; Suhui Wang; Peter Nicholl; Long-Hao Yang; Ying-Ming Wang 001 (Int. J. Approx. Reason., 2020)

A new air pollution management method based on the integration of evidential reasoning and slacks-based measure. - Fei-Fei Ye; Suhui Wang; Long-Hao Yang; Ying-Ming Wang 001 (J. Intell. Fuzzy Syst., 2020)

A structure optimization method for extended belief-rule-based classification system. - Haizhen Zhu; Mingqing Xiao 003; Xin Zhao; Xilang Tang; Long-Hao Yang; Weijie Kang; Zhaozheng Liu (Knowl. Based Syst., 2020)

Improving Micro-Extended Belief Rule-Based System Using Activation Factor for Classification Problems. - Long-Hao Yang; Jun Liu 001; Ying-Ming Wang 001; Hui Wang 001; Luis Martínez 001 (BELIEF, 2021)

Dynamic Rule Activation Method Based on Activation Factor for Extended Belief Rule-based Systems. - Tianyu Ren; Fei-Fei Ye; Long-Hao Yang; Jun Liu 001; Yanyan Wang (ISKE, 2021)

Online updating extended belief rule-based system for sensor-based activity recognition. - Long-Hao Yang; Jun Liu 001; Ying-Ming Wang 001; Chris D. Nugent; Luis Martínez 001 (Expert Syst. Appl., 2021)

An improved fuzzy rule-based system using evidential reasoning and subtractive clustering for environmental investment prediction. - Long-Hao Yang; Fei-Fei Ye; Jun Liu 001; Ying-Ming Wang 001; Haibo Hu 001 (Fuzzy Sets Syst., 2021)

A Micro-Extended Belief Rule-Based System for Big Data Multiclass Classification Problems. - Long-Hao Yang; Jun Liu 001; Ying-Ming Wang 001; Luis Martínez 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Extended Belief Rule Base Model with Novel Rule Generation for Sensor-Based Human Activity Recognition Under Big Data. - Tianyu Ren; Long-Hao Yang; Chris D. Nugent; Fei-Fei Ye; Naomi Irvine; Jun Liu 001 (UCAmI, 2022)

A heterogeneous multi-attribute case retrieval method for emergency decision making based on bidirectional projection and TODIM. - Jing Zheng; Ying-Ming Wang 001; Kai Zhang; Jian-Qing Gao; Long-Hao Yang (Expert Syst. Appl., 2022)

Highly explainable cumulative belief rule-based system with effective rule-base modeling and inference scheme. - Long-Hao Yang; Jun Liu 001; Fei-Fei Ye; Ying-Ming Wang 001; Chris D. Nugent; Hui Wang 001; Luis Martínez 001 (Knowl. Based Syst., 2022)

An ensemble extended belief rule base decision model for imbalanced classification problems. - Long-Hao Yang; Tianyu Ren; Fei-Fei Ye; Peter Nicholl; Ying-Ming Wang 001; Haitian Lu (Knowl. Based Syst., 2022)

Enhancing extended belief rule-based systems for classification problems using decomposition strategy and overlap function. - Long-Hao Yang; Jun Liu 001; Ying-Ming Wang 001; Hui Wang 001; Luis Martínez 001 (Int. J. Mach. Learn. Cybern., 2022)

Cumulative Belief Rule-Based Expert System for Multi-Resident Activity Recognition in Smart Home. - Long-Hao Yang; Yi-Xuan Lu; Peng-Peng Huang; Fei-Fei Ye; Hai-Dong Wu; Jun Liu 001 (ISKE, 2023)

Predicting Remaining Useful Life of Lithium-Ion Battery Using Extended Belief Rule Base Model. - Long-Hao Yang; Bei-Ya Qian; Chen-Xi Huang; Fei-Fei Ye; Haibo Hu 001; Hai-Dong Wu (ISKE, 2023)

Extended belief rule-based method for the assessment of matching between rescue tasks and volunteers. - Li Chen; Sheng-Qun Chen; Long-Hao Yang (Kybernetes, 2023)

Evidential reasoning rule for environmental governance cost prediction with considering causal relationship and data reliability. - Fei-Fei Ye; Long-Hao Yang; James Uhomoibhi; Jun Liu 001; Ying-Ming Wang 001; Haitian Lu (Soft Comput., 2023)

Micro-extended belief rule-based system with activation factor and parameter optimization for industrial cost prediction. - Suhui Wang; Fei-Fei Ye; Long-Hao Yang; Jun Liu 001; Hui Wang 001; Luis Martínez 001 (Int. J. Mach. Learn. Cybern., 2023)

A data-driven rule-based system for China's traffic accident prediction by considering the improvement of safety efficiency. - Fei-Fei Ye; Long-Hao Yang; Ying-Ming Wang 001; Haitian Lu (Comput. Ind. Eng., 2023)

Belief rule-base expert system with multilayer tree structure for complex problems modeling. - Long-Hao Yang; Fei-Fei Ye; Jun Liu 001; Ying-Ming Wang 001 (Expert Syst. Appl., 2023)

Extended belief rule-based system using bi-level joint optimization for environmental investment forecasting. - Long-Hao Yang; Fei-Fei Ye; Ying-Ming Wang 001; Yi-Xin Lan; Chan Li (Appl. Soft Comput., 2023)

Extended belief rule base with ensemble imbalanced learning for lymph node metastasis diagnosis in endometrial carcinoma. - Long-Hao Yang; Tianyu Ren; Fei-Fei Ye; Haibo Hu 001; Hui Wang 001; Hui Zheng (Eng. Appl. Artif. Intell., 2023)

Enterprise performance online evaluation based on extended belief rule-base model. - Fei-Fei Ye; Long-Hao Yang; Haitian Lu; Haibo Hu 001; Ying-Ming Wang 001 (Expert Syst. Appl., 2024)

An explainable decision model based on extended belief-rule-based systems to predict admission to the intensive care unit during COVID-19 breakout. - Jing Zheng; Long-Hao Yang; Ying-Ming Wang 001; Jian-Qing Gao; Kai Zhang (Appl. Soft Comput., 2024)

A novel data-driven rule-base approach with driving factor decomposition for multi-scenario prediction on carbon emission reduction. - Fei-Fei Ye; Rongyan You; Long-Hao Yang; Haitian Lu; Hongzhong Xie (Comput. Ind. Eng., 2025)

Belief-Rule-Based System With Self-Organizing and Multi-Temporal Modeling for Sensor-Based Human Activity Recognition. - Long-Hao Yang; Fei-Fei Ye; Chris D. Nugent; Jun Liu 001; Ying-Ming Wang 001 (IEEE J. Biomed. Health Informatics, 2025)

A Novel Modeling Approach for Cumulative Belief Rule-Base With Joint Optimization and Rule Synthesis. - Long-Hao Yang; Dan-Ning Yu; Fei-Fei Ye; Haibo Hu 001; Qingqing Ye 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)