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A Blockchain Framework in Compliance with Data Protection Law to Manage and Integrate Human Knowledge by Fuzzy Cognitive Maps: Small Business Loans

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A Systematic Review of Literature on Sustaining Decision-Making in Healthcare Organizations Amid Imperfect Information in the Big Data Era

Orlu, G. U., Abdullah, R., Zaremohzzabieh, Z., Jusoh, Y. Y., Asadi, S., Qasem, Y. A. M., Nor, R. N. H., & Nasir, W. (2023) · Sustainability · doi:10.3390/su152115476 · Cited by 8 · see citing works

Optimized methods for basic probability assignments in evidence theory: Applications to fault diagnosis

Guan, X., Yu, H., & Yi, X. (2025) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2025.111737 · Cited by 6 · see citing works

Complex-valued Deng entropy

Pan, L., & Deng, Y. (2023) · Applied Intelligence · doi:10.1007/s10489-023-04573-w · Cited by 6 · see citing works

Evidential Reasoning Approach for Predicting Popularity of Instagram Posts

Rivadeneira, L., & Loor, I. (2024) · IEEE Access · doi:10.1109/access.2024.3510637 · Cited by 5 · see citing works

Optimal data-driven strategy for in-house and outsourced technological innovations by open banking APIs

Dezem, V., Sachan, S., Macedo, M. Á. D. S., & Longaray, A. A. (2024) · Future Business Journal · doi:10.1186/s43093-024-00397-3 · Cited by 5 · see citing works

Automated Secure Computing for Fraud Detection in Financial Transactions

Singh, K., Kolar, P., Abraham, R., Ram, V. S., Nanduri, S., & Kumar, D. (2023) · doi:10.1002/9781394213948.ch9 · Cited by 5 · see citing works

Asynchronous optimization approach for evidential reasoning rule-based classifier

Zhao, R., Sun, J., Tu, L., & Jiang, J. (2023) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2023.107435 · Cited by 4 · see citing works

Secure and Transparent Lawyer-in-the-Loop Medico-Legal Insurance Decisions by Explainable AI and Blockchain Technology

Sachan, S., & Fairclough, G. (2024) · Communications in computer and information science · doi:10.1007/978-3-031-64359-0_3 · Cited by 4 · see citing works

Fintech Lending Decisions: An Interpretable Knowledge-Base System for Retail and Commercial Loans

Sachan, S. (2022) · Communications in computer and information science · doi:10.1007/978-3-031-08974-9_10 · Cited by 4 · see citing works

A Feature Incremental Learning Method Based on Evidential Reasoning Rule

Tu, L., Zhao, R., Sun, J., & Jiang, J. (2022) · International Conference on Big Data and Information Analytics (BigDIA) · doi:10.1109/bigdia56350.2022.9874047 · Cited by 4 · see citing works

Systematic Literature Review of Data Distribution in Preprocessing Stage with Focus on Outliers

Muslikh, A. R., Andono, P. N., Marjuni, A., & Santoso, H. A. (2023) · International Seminar on Application for Technology of Information and Communication (iSemantic) · doi:10.1109/isemantic59612.2023.10295291 · Cited by 5 · see citing works

A Review on Explainable Artificial Intelligence for Healthcare

Chauhan, R. (2025) · doi:10.1002/9781394249312.ch1 · Cited by 4 · see citing works

Evaluating power system reform proposals based on the evidential reasoning algorithm with hesitant fuzzy information

Zhang, C., Lu, W., Xu, Z., & Xue, W. (2023) · Applied Intelligence · doi:10.1007/s10489-023-04746-7 · Cited by 3 · see citing works

Diabetes Classification Problem with CatBoost Method and Optuna Gradient Boosting Optimization

Kurniawan, S. D., Purwono, P., Ma’arif, A., & Suwarno, I. (2023) · International Conference on Information and Communications Technology (ICOIACT) · doi:10.1109/icoiact59844.2023.10455940 · Cited by 3 · see citing works

A new method for assessing the health status of aerospace equipment based on a belief rule base with balanced accuracy and complexity

Shen, J., Si, Z., Li, H., Ma, N., & He, W. (2025) · Scientific Reports · doi:10.1038/s41598-025-86851-w · Cited by 3 · see citing works

AI Technologies in Reducing Hospital Readmission for Chronic Diseases: A Recommended Framework

Farid, F., Bello, A., Ahamed, F., Hossain, F., Sabrina, F., & Sohail, S. (2024) · IEEE International Conference on Future Machine Learning and Data Science (FMLDS) · doi:10.1109/fmlds63805.2024.00022 · Cited by 3 · see citing works

Trustworthy Artificial Intelligence in Healthcare: A Proposed Framework

Lynch, N. S. J., Loughran, R., McHugh, M., & McCaffery, F. (2025) · Communications in computer and information science · doi:10.1007/978-3-032-04288-0_5 · Cited by 3 · see citing works

A Processor Performance Prediction Method Based on Interpretable Hierarchical Belief Rule Base and Sensitivity Analysis

Wei-wei, C., He, W., Zhu, H., Guo-hui, Z., Mu, Q., & Han, P. (2022) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2023.035743 · Cited by 3 · see citing works

Revisiting the Key Components of Creativity Through Generative AI

Güzelci, O. Z., & Karadağ, İ. (2024) · Advances in media, entertainment and the arts (AMEA) book series · doi:10.4018/979-8-3693-1950-5.ch001 · Cited by 3 · see citing works

A novel framework for cryptocurrency price forecasting: integrating dual attention mechanisms, genetic algorithm feature selection, and Hybrid Adam-PSO optimization

Mahapatro, S., Sahu, P. K., & Subudhi, A. K. (2026) · Cogent Engineering · doi:10.1080/23311916.2026.2641300 · Cited by 2 · see citing works

Decision-making method combining machine learning and expert subjective judgment and its application to typhoon-induced house damage assessment

Chen, S.-Q., Shi, H.-L., Wang, Y., & Chen, L.-T. (2025) · Applied Soft Computing · doi:10.1016/j.asoc.2025.113235 · Cited by 2 · see citing works

A heterogeneous soft-hard fusion framework on fog based private SaS model for smart monitoring of public restrooms

Gore, R., Banerjea, S., & Tyagi, N. (2022) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-022-04401-y · Cited by 2 · see citing works

IGHOA Based Modified Convolutional Neural Network for Prediction of Cardiovascular Disease

R, D. M., Jaiswal, R., Vishwanatha, C. R., Thatikonda, R., & Avula, S. R. (2023) · International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT) · doi:10.1109/easct59475.2023.10393147 · Cited by 1 · see citing works

An improved approach for incomplete information modeling in the evidence theory and its application in classification

Tang, Y., Wu, L., Huang, Y., & Zhou, D. (2024) · Soft Computing · doi:10.1007/s00500-024-09740-w · Cited by 1 · see citing works

Examining consumers’ willingness to participate in aggregated demand response: An exploratory case study in Spain

Palomar, E., Cruz, C., Bravo, I., & Hernandez-Grau, M. (2024) · IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) · doi:10.1109/smartgridcomm60555.2024.10738044 · Cited by 1 · see citing works

Composite Activation Belief Rule Base Model for Complex Systems Based on Multi‐Dimensional Reduction

Shen, J., Si, Z., He, W., Ma, N., & Li, H. (2025) · Advanced Theory and Simulations · doi:10.1002/adts.202500111 · Cited by 1 · see citing works

Hybrid metaheuristic-driven feature engineering and optimized ensemble learning for robust cardiovascular risk prediction

Maithani, A., & Verma, G. (2025) · Progress in Engineering Science · doi:10.1016/j.pes.2025.100139 · Cited by 1 · see citing works

Trustworthy DataOps for the Medallion Lakehouse

Fannouch, A., Gharib, J., & Gahi, Y. (2026) · International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) · doi:10.1109/iraset68627.2026.11538725 · Cited by 1 · see citing works

Evidential reasoning-based action segmentation fusion model for industrial behavior procedures monitoring

Huang, W., Xu, X., Zhang, Z., He, H., Nam, H., & Steyskal, F. (2026) · Displays · doi:10.1016/j.displa.2026.103584 · Cited by 1 · see citing works

Application of Efficient Feature Selection and Machine Learning Algorithms in Mental Health Disorder Identification

Mallick, S., & Panda, M. (2022) · Communications in computer and information science · doi:10.1007/978-3-031-23233-6_26 · Cited by 1 · see citing works

A new classification method using the generalized basic probability assignment

Tang, Y., Wu, L., Huang, Y., & Zhou, D. (2023) · European Control Conference (ECC) · doi:10.23919/ecc57647.2023.10178244 · Cited by 1 · see citing works

Blockchain for Ethical and Transparent Generative AI Utilization by Banking and Finance Lawyers

Sachan, S., Dezem, V., & Fickett, D. S. (2024) · Communications in computer and information science · doi:10.1007/978-3-031-63800-8_16 · Cited by 1 · see citing works

Analysis of the relationship between fetal health prediction features with machine learning feyn qlattice regression model

Purwono, P., Wirasto, A., Setiawan, R. A., Triwibowo, D. N., Zuhrufillah, I., Sumantri, R. B. B., & Supriyatin, S. (2023) · AIP conference proceedings · doi:10.1063/5.0120255 · Cited by 1 · see citing works

Machine Learning-Based Model for Injury-Free Sports Training

Sharma, D., & Sharma, V. (2023) · International Journal of convergence in healthcare · doi:10.55487/ijcih.v3i1.97 · Cited by 1 · see citing works

An Enhancement in the Efficiency of Disease Prediction Using Feature Extraction and Feature Selection

Kapila, R., & Saleti, S. (2023) · Advances in healthcare information systems and administration book series · doi:10.4018/978-1-6684-8913-0.ch003

Reliability Analysis of Wind Turbine Generator Considering Environmental and Meteorological Data

Jin, S., & Mu, X. (2023) · IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS) · doi:10.1109/icpics58376.2023.10235717

Comprehensive Competency Evaluation of Vocational Undergraduate Students Based on multi-layer ER Rules

Jin, S., & Mu, X. (2023) · International Conference on Information Science, Parallel and Distributed Systems (ISPDS) · doi:10.1109/ispds58840.2023.10235450

The impact of aggregated demand response to energy communities: Results of a community survey in SpainPreprint

Palomar, E., Cruz, C., Hernandez, M., & Bravo, I. (2023) · Research Square · doi:10.21203/rs.3.rs-3426586/v1

Federated Classifier Fusion - An Evidential Reasoning Approach

Seo, J. (2024) · International Conference on Automation and Computing (ICAC) · doi:10.1109/icac61394.2024.10718761

Category data embedding

Wang, W. (2025) · doi:10.26481/dis.20250522ww

Data preparation method for machine learning-based breast cancer risk prediction: A Cuban case study

Valencia-Moreno, J. M., Gutiérrez-López, E., Gonzalez-Fraga, J. A., Rodríguez, R. A. M., Victoria, O. D. M., & Serrano, A. A. S. (2025) · MethodsX · doi:10.1016/j.mex.2025.103688

Evidential Reasoning in a Categorial Perspective.

Kennes, R. (1991) · Uncertainty in Artificial Intelligence

Coarse categorical data under ontologic and epistemic uncertainty

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Explainable Uncertainty Estimation for Reliable Medical AI

Wang, L. R., Duell, J., Xu, X., Henderson, T. C., Hew, Y. Y., Chiang, P. W. E., Ang, X. W., Fan, B. E., & Fan, X. (2026) · SHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University) · doi:10.48550/arxiv.2608.28052

A meta-heuristic approach to estimate and explain classifier uncertainty

Houston, A. D., & Cosma, G. (2025) · Applied Intelligence · doi:10.1007/s10489-024-06127-0 · Cited by 3 · see citing works

Explainable Artificial Intelligence Methods for Modeling Categorical Responses

Mayrhofer, M. (2021) · reposiTUm (TU Wien) · doi:10.34726/hss.2021.87160