L. Ou, Y.-C. Chang, Y. Wang, C.-T. Lin, "Explain Reinforcement Learning Agents Through Fuzzy Rule Reconstruction"

W. Tan, J. Renkhoff, A. Velasquez, Z. Wang, L. Li, J. Wang, S. Niu, F. Yang, Y. Liu, "NoiseCAM: Explainable AI for the Boundary Between Noise and Adversarial Attacks"

T. Zhang, J. Ying, C. Wagner, J. Garibaldi, "Towards causal fuzzy system rules using causal direction"

R. Nath, G. Smits, O. Pivert, "Fuzzy-Vocabulary-Based Detection and Explanation of Anomalies"

C. Wrede, M.H.M. Winands, E. Smirnov, A. Wilbik, "Towards Explainable Linguistic Summaries"

H. Meng, I. Triguero, C. Wagner, "An Initial Step Towards Stable Explanations for Multivariate Time Series Classifiers with LIME"

B. Young, D. Anderson, J. Keller, F. Petry, C. Michael, B. Ruprecht, "Human-Oriented Fuzzy Set Based Explanations of Spatial Concepts"

A. Jeyasothy, A. Rico, M.-J. Lesot, C. Marsala, T. Laugel, "Knowledge Integration in XAI with Gödel Integrals"

M. Fazzolari, P. Ducange, F. Marcelloni, "An Explainable Intrusion Detection System for IoT Network"

A. Arias-Duart, F. Parés, D. Garcia-Gasulla, V. Gimenez-Abalos, "Focus! Rating XAI Methods and Finding Biases"

I. Gutiérrez García-Pardo, D. Sr Santos, J. Castro, D. Gómez, J.A. Guevara, R. Espínola Vílchez, "On measuring features importance in Machine Learning models in a two-dimensional representation scenario"

J. Aechtner, L. Cabrera, D. Katwal, P. Onghena, D. Penroz Valenzuela, A. Wilbik, "Comparing User Perception of Explanations Developed with XAI Methods"

J. L. Corcuera Bárcena, P. Ducange, A. Ercolani, F. Marcelloni, A. Renda, "An Approach to Federated Learning of Explainable Fuzzy Regression Models"

A. Bechini, J. L. Corcuera Bárcena, P. Ducange, F. Marcelloni, A. Renda, "Increasing Accuracy and Explainability in Fuzzy Regression Trees: An Experimental Analysis"

A. Martínez, J. Del Ser, P. Garcia-Bringas, "Can Post-hoc Explanations effectively detect Out-of-Distribution Samples?"

A. R. Gevaert, "Distilling Deep RL Models Into Interpretable Neuro-Fuzzy Systems"

E. Mariotti, J. M. Alonso-Moral, A. Gatt, "Measuring Model Understandability by means of Shapley Additive Explanations"

M. Loor, A. Tapia-Rosero, G. De Tré, "An Open-Source Software Library for Explainable Support Vector Machine Classification"

J. R. Bertini, A. Cano, "An explainable classifier based on genetically evolved graph structures"

W. Wu, J. Keller, M. Skubic, M. Popescu, "Explainable AI for Early Detection of Health Changes Via Streaming Clustering"

S. Chouhan, A. Wilbik, R. Dijkman, "Explanation of Anomalies in Business Process Event Logs with Linguistic Summaries"

U. Ahmed, J. Chun-Wei Lin, S. Tomasiello, G. Srivastava, "Fuzzy Explainable Attention-based Deep Active Learning on Mental Data"

J. Yu, A. Cristea, A. Harit, Z. Sun, O. T. Aduragba, L. Shi, N. Al Moubayed, "INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations"

H. Andersen, A. Lensen, W. N. Browne, Y. Mei, "Evolving Counterfactual Explanations with Particle Swarm Optimization and Differential Evolution"

A. Bhatia, H. Hagras, "A Time Series Based Explainable Interval Type-2 Fuzzy Logic System"

A. da Silva, J. R. Bertini, "Using the K-associated optimal graph to provide counterfactual explanations"

C. Marsala, B. Bouchon-Meunier, "Explainable Fuzzy Interpolative Reasoning"

F. Sovrano, F. Vitali, "How to Quantify the Degree of Explainability: Experiments and Practical Implications"

L. Martinez-Villaseñor, H. Ponce, A. Martínez-Velasco, L. Miralles-Pechuán, "An Explainable Tool to Support Age-related Macular Degeneration Diagnosis"

I. Bloch, M.-J. Lesot, "Towards a Formulation of Fuzzy Contrastive Explanations"

T. Zhang, C. Wagner, J. Garibaldi, "Counterfactual rule generation for fuzzy rule-based classification systems"

L. Bonifacio, G. Lucca, G. Dimuro, E. Borges, L. Emmendorfer, S. Weigert, "Explainable Classification Methods for Fish Species Detection Using Hydroacoustic Data"

B. Murray, D. Anderson, T. Havens, "Actionable XAI for the Fuzzy Integral"

J.-P. Poli, W. Ouerdane, R. Pierrard, "Generation of Textual Explanations in XAI: the Case of Semantic Annotation"

C. Biedma-Rdguez, M. J. Gacto, R. Alcala, J. Alcala-Fdez, "Meta-Fuzzy Items for Fuzzy Association Rules"

G. Gallo, M. L. Bernardi, M. Cimitile, P. Ducange, "An Explainable Approach for Car Driver Identification"

A. Renda, P. Ducange, G. Gallo, F. Marcelloni, "XAI Models for Quality of Experience Prediction in Wireless Networks"

A. Panda, B. Kosko, "Bayesian Pruned Random Rule Foams for XAI"

I. Baaj, J.-P. Poli, W. Ouerdane, N. Maudet, "Min-max inference for Possibilistic Rule-Based System"

E. Mariotti, Jose M. Alonso, R. Confalonieri, "A Framework for Analyzing Fairness, Accountability, Transparency and Ethics: A Use-case in Banking Services"

C. Mencar, C. Castiello, "Descriptive Stability of Fuzzy Rule-Based Systems"

U. Ahmed, J. Chun-Wei Lin, G. Srivastava, "Fuzzy Explainable Attention-based Deep Active Learning on Mental-Health Data"

S. J. Upasane, H. Hagras, M. H. Anisi, S. Savill, I. Taylor, K. Manousakis, "A Big Bang-Big Crunch Type-2 Fuzzy Logic System for Explainable Predictive Maintenance"

J. Rozman, H. Hagras, J. Andreu-Perez, D. Clarke, B. Muller, S. Fitz, "A Type-2 Fuzzy Logic Based Explainable AI Approach for the Easy Calibration of AI models in IoT Environments"

R. Chimatapu, H. Hagras, M. Kern, G. Owusu, "Enhanced Deep Type-2 Fuzzy Logic System For Global Interpretability"

J. Adams, H. Hagras, "A Type-2 Fuzzy Logic Approach to Explainable AI for regulatory compliance, fair customer outcomes and market stability in the Global Financial Sector"

Jose M. Alonso, P. Ducange, R. Pecori, R. Vilas, "Building Explanations for Fuzzy Decision Trees with the ExpliClas Software"

Jose M. Alonso, J. Toja-Alamancos, A. Bugarín, "Experimental Study on Generating Multi-modal Explanations of Black-box Classifiers in terms of Gray-box Classifiers"

R. Chimatapu, H. Hagras, M. Kern, G. Owusu, "Hybrid Deep Learning Type-2 Fuzzy Logic Systems For Explainable AI"

P. D'Alterio, Jonathan M. Garibaldi, Robert I. John, "Constrained Interval Type-2 Fuzzy Classification Systems for Explainable AI (XAI)"

J. Dujmovic, "Interpretability and Explainability of LSP Evaluation Criteria"

S. García Galán, M. Seddiki, R. J. Perez de Prado, E. Muñoz Expósito, A. Marchewka, N. Ruiz Reyes, "Relevance of Using Interpretability Indexes for the Design of Schedulers in Cloud Computing Systems"

I. Grau, D. Sengupta, M. M. Garcia Lorenzo, A. Nowe, "An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling"

L. Jara, A. González, R. Pérez, "A Preliminary Study to Apply the Quine McCluskey Algorithm for Fuzzy Rule Base Minimization"

T. R. Razak, Jonathan M. Garibaldi, C. Wagner, "An Improved Complexity Measure in Hierarchical Fuzzy Systems"

O. Serradilla, E. Zugasti, C. Cernuda, A. Aranburu, J. Ramirez de Okariz, U. Zurutuza, "Interpreting Remaining Useful Life Estimations Combining Explainable Artificial Intelligence and Domain Knowledge in Industrial Machinery"

I. Stepin, Jose M. Alonso, A. Catala, M. Pereira-Fariña, "Generation and Evaluation of Factual and Counterfactual Explanations for Decision Trees and Fuzzy Rule-based Classifiers"

J. R. Trillo, A. Fernandez, F. Herrera, "HFER: Promoting Explainability in Fuzzy Systems via Hierarchical Fuzzy Exception Rules"

M. Zalasinski, K. Cpalka, K. Lapa, "An Interpretable Fuzzy System in the On-line Signature Scalable Verification"

A. Adhikari, D. M. J. Tax, R. Satta, M. Faeth, "LEAFAGE: Example-based and Feature importance-based Explanations for Black-box ML models"

K. Amarasinghe, M. Manic, "Explaining What a Neural Network has Learned: Toward Transparent Classification"

Jose M. Alonso, A. Bugarin, "ExpliClas: Automatic Generation of Explanations in Natural Language for Weka Classifiers"

I. Baaj, J.-P. Poli, "Natural Language Generation of Explanations of Fuzzy Inference Decisions"

F. Dupin de Saint-Cyr, R. Guillaume, U. Mushtaq, "Explainable Decisions under incomplete knowledge with Supports and Weights"

E. Ferreyra, H. Hagras, M. Kern, G. Owusu, "Depicting Decision-Making: A Type-2 Fuzzy Logic Based Explainable Artificial Intelligence System for Goal-Driven Simulation in the Workforce Allocation Domain"

A. Jain, J. Keller, M. Popescu, "Explainable AI For Dataset Comparison"

N. Potie, S. Giannoukakos, M. Hackenberg, A. Fernandez, "On the Need of Interpretability for Biomedical Applications: Using Fuzzy Models for Lung Cancer Prediction with Liquid Biopsy"

T. R. Razak, Jonathan M. Garibaldi, C. Wagner, "A Measure of Structural Complexity of Hierarchical Fuzzy Systems Adapted from Software Engineering"

M. Yeganejou, S. Dick, "Improved Deep Fuzzy Clustering for Accurate and Interpretable Classifiers"

J. Chia-Feng, C. Yun-Wei, L. Yeh-Ming, "Visually Interpretable Fuzzy Neural Classification Network With Deep Convolutional Feature Maps", IEEE Transactions on Fuzzy Systems, 32(3):1063-1077, 2024

H. Chen, Z. Liu, C. Alippi, B. Huang, D. Liu, "Explainable Intelligent Fault Diagnosis for Nonlinear Dynamic Systems: From Unsupervised to Supervised Learning", IEEE Transactions on Neural Networks and Learning Systems, 35(5):6166-6179, 2024

S. J. Upasane, H. Hagras, M. H. Anisi, S. Savill, Ian Taylor, Kostas Manousakis, "A Type-2 Fuzzy-Based Explainable AI System for Predictive Maintenance Within the Water Pumping Industry", IEEE Transactions on Artificial Intelligence, 5(2):490-504, 2024

L. Nannini, J.M. Alonso-Moral, A. Catala, M. Lama, S. Barro, "Operationalizing Explainable AI in the EU Regulatory Ecosystem", IEEE Intelligent Systems, 1-13, 2024

I. Grau, G. Nápoles, M. Bello, Y. Salgueiro, A. Jastrzebska, "Forward Composition Propagation for Explainable Neural Reasoning", IEEE Computational Intelligence Magazine, 19(1):26-35, 2024

I. Stepin, M. Suffian, A. Catala, J. M. Alonso-Moral, "How to Build Self-Explaining Fuzzy Systems: From Interpretability to Explainability [AI-eXplained]", IEEE Computational Intelligence Magazine, 19(1):81-82, 2024

L. Ou, Y. -C. Chang, Y. -K. Wang, C. -T. Lin, "Fuzzy Centered Explainable Network for Reinforcement Learning," IEEE Transactions on Fuzzy Systems, 32(1):203-213, 2024

U. Peters, M. Carman, "Unjustified Sample Sizes and Generalizations in Explainable AI Research: Principles for More Inclusive User Studies", IEEE Intelligent Systems, 1-10, 2023

R. Confalonieri, J.M. Alonso-Moral, "An operational framework for guiding human evaluation in Explainable and Trustworthy AI", IEEE Intelligent Systems, 1-13, 2023

D. Li, Y. Liu, J. Huang, Z. Wang, "A Trustworthy View on Explainable Artificial Intelligence Method Evaluation", IEEE Computer, 56(4):50-60, 2023

K. Crockett, E. Colyer, L. Gerber, A. Latham, "Building Trustworthy AI Solutions: A Case for Practical Solutions for Small Businesses", IEEE Transactions on Artificial Intelligence, 4(4):778–791, 2023

Y. Mei, Q. Chen, A. Lensen, B. Xue, M. Zhang, "Explainable Artificial Intelligence by Genetic Programming: A Survey", IEEE Transactions on Evolutionary Computation, 27(3):621-641, 2023

E. Zhou, C. M. Vong, Y. Nojima, S. Wang, "A Fully Interpretable First-Order TSK Fuzzy System and Its Training With Negative Entropic and Rule-Stability-Based Regularization", IEEE Transactions on Fuzzy Systems, 31(7):2305-2319, 2023

C.-F. Juang, G.-R. Pan, W.-C. Huang, C.-Y. Wen, M.-F. Wu, "Multiobjective Optimization of Interpretable Fuzzy Systems and Applicable Subjects for Fast Estimation of Obstructive Sleep Apnea-Hypopnea Severity", IEEE Transactions on Fuzzy Systems, 31(7):2225-2237, 2023

D. Zhang, Y. Xu, Y. Peng, C. Du, N. Wang, M. Tang, L. Lu, J. Liu, "An Interpretable Station Delay Prediction Model Based on Graph Community Neural Network and Time-Series Fuzzy Decision Tree", IEEE Transactions on Fuzzy Systems, 31(2):421 - 433, 2023

F. Aghaeipoor, M. Sabokrou, A. Fernández, "Fuzzy Rule-Based Explainer Systems for Deep Neural Networks: From Local Explainability to Global Understanding", IEEE Transactions on Fuzzy Systems, 31(9):3069-3080, 2023

N.I. Arnold, P. Angelov, P.M. Atkinson, "An Improved Explainable Point Cloud Classifier (XPCC)",  IEEE Transactions on Artificial Intelligence, 4:71-80, 2023

H. Li, X. Shi, X. Zhu, S. Wang, Z. Zhang, "FSNet: Dual Interpretable Graph Convolutional Network for Alzheimer’s Disease Analysis", IEEE Transactions on Emerging Topics in Computational Intelligence, 7:15-25, 2022

H. He, J. Gray, A. Cangelosi, Q. Meng, T.M. McGinnity, J. Mehnen, "The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systems", IEEE Transactions on Cognitive and Developmental Systems, 14:1398-1412, 2022

A. Rawal, J. McCoy, D.B. Rawat, B.M. Sadler, R.S. Amant, "Recent Advances in Trustworthy Explainable Artificial Intelligence: Status, Challenges, and Perspectives", IEEE Transactions on Artificial Intelligence, 3:852-866, 2022

G. Fernandez, J.A. Aledo, J.A. Gamez, J.M. Puerta, "Factual and counterfactual explanations in fuzzy classification trees", IEEE Transactions on Fuzzy Systems, 30(12):5484-5495, 2022

B. Cao, J. Zhao, X. Liu, J. Arabas, M. Tanveer, A.K. Singh, Z. Lv, "Multiobjective Evolution of the Explainable Fuzzy Rough Neural Network with Gene Expression Programming", IEEE Transactions on Fuzzy Systems, 30(10):4190-4200, 2022

M. Suffian, P. Graziani, J.M. Alonso-Moral, A. Bogliolo, "FCE: Feedback based Counterfactual Explanations for Explainable AI", IEEE Access, 10:72363-72372, 2022

J.M. Alonso-Moral, C. Mencar, H. Ishibuchi, "Explainable and Trustworthy Artificial Intelligence [Guest Editorial]", IEEE Computational Intelligence Magazine, 17(1):14-15, 2022

M. Kiani, J. Andreu-Perez, H. Hagras, S. Rigato, M.L. Filippetti, "Towards Understanding Human Functional Brain Development With Explainable Artificial Intelligence: Challenges and Perspectives", IEEE Computational Intelligence Magazine, 17(1):16-33, 2022

A. Ghods, D.J. Cook, "PIP: Pictorial Interpretable Prototype Learning for Time Series Classification", IEEE Computational Intelligence Magazine, 17(1):34-45, 2022

L. Coba, R. Confalonieri, M. Zanker, "RecoXplainer: A Library for Development and Offline Evaluation of Explainable Recommender Systems", IEEE Computational Intelligence Magazine, 17(1):46-58, 2022

A. Heuillet, F. Couthouis, N. Díaz-Rodríguez, "Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning With Shapley Values", IEEE Computational Intelligence Magazine, 17(1):59-71, 2022

R. Hamon, H. Junklewitz, I. Sanchez, G. Malgieri, P. de Hert, "Bridging the Gap Between AI and Explainability in the GDPR: Towards Trustworthiness-by-Design in Automated Decision-Making", IEEE Computational Intelligence Magazine, 17(1):72-85, 2022

Y.-C. Chang, Y. Shi, A. Dostovalova, Z. Cao, J. Kim, D. Gibbons, C.-T. Lin, "Interpretable Fuzzy Logic Control for Multirobot Coordination in a Cluttered Environment", IEEE Transactions on Fuzzy Systems, 2021

M. Kumar, W. Zhang, M. Weippert, B. Freudenthaler, "An Explainable Fuzzy Theoretic Nonparametric Deep Model for Stress Assessment Using Heartbeat Intervals Analysis", IEEE Transactions on Fuzzy Systems, 2021

W. Gan, Z. Du, W. Ding, C. Zhang, H.-C. Chao, "Explainable Fuzzy Utility Mining on Sequences", IEEE Transactions on Fuzzy Systems, 2021

Z. Guo, K. Yu, A. Jolfaei, A.K. Bashir, A.O. Almagrabi, N. Kumar, Fuzzy Detection System for Rumors Through Explainable Adaptive Learning, IEEE Transactions on Fuzzy Systems, 2021

T. R. Razak, Jonathan M. Garibaldi, C. Wagner, A. Pourabdollah, D. Soria, "Toward a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems—A Participatory Design Approach", IEEE Transactions on Fuzzy Systems, 2021

J. M. Mendel, P. P. Bonissone, "Critical Thinking About Explainable AI (XAI) for Rule-Based Fuzzy Systems", IEEE Transactions on Fuzzy Systems, 2021

C.-F. Juang, C.-W. Chang, T.-H. Hung, "Hand Palm Tracking in Monocular Images by Fuzzy Rule-based Fusion of Explainable Fuzzy Features with Robot Imitation Application", IEEE Transactions on Fuzzy Systems, 2021

W. Shiung Liew, C. K. Loo, S. Wermter, "Emotion Recognition Using Explainable Genetically Optimized Fuzzy ART Ensembles", IEEE Access, 2021

F. Aghaeipoor, M. M. Javidi, A. Fernandez, "IFC-BD: An Interpretable Fuzzy Classifier for Boosting Explainable Artificial Intelligence in Big Data", IEEE Transactions on Fuzzy Systems, 2021

S. Feng, C.L. Philip Chen, L. Xu, Z. Liu, "On the Accuracy-complexity Trade-off of Fuzzy Broad Learning System", IEEE Transactions on Fuzzy Systems, 2020

E. A. Soares, P. P. Angelov, B. Costa, M. Castro, S. Nageshrao, D. Filev, "Explaining Deep Learning Models Through Rule-Based Approximation and Visualization", IEEE Transactions on Fuzzy Systems, 2020

M. Yeganejou, S. Dick, J. Miller, "Interpretable Deep Convolutional Fuzzy Classifier", IEEE Transactions on Fuzzy Systems, 2019

A. Fernández, M. J. del Jesus, O. Cordón, F. Marcelloni, F. Herrera. "Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to?", IEEE Computational Intelligence Magazine 14(1):69-81, 2019

S. El-Sappagh, Jose M. Alonso, F. Ali, A. Ali, J.-H. Jang, K.-S. Kwak, "An Ontology-based Interpretable Fuzzy Decision Support System for Diabetes Diagnosis", IEEE Access, 6:37371-37394, 2018

H. Hagras, "Toward Human-Understandable, Explainable AI", IEEE Computer, 51(9):28-36, 2018

Jose M. Alonso, A. Bugarin, E. Reiter, "Natural Language Generation with Computational Intelligence", IEEE Computational Intelligence Magazine, 12(3):8-9, 2017

Jerry M. Mendel, "Explainable Uncertain Rule-Based Fuzzy Systems", Springer Nature Switzerland AG, 2024

Jose M. Alonso, C. Castiello, L. Magdalena, C. Mencar, "Explainable Fuzzy Systems - Paving the Way from Interpretable Fuzzy Systems to Explainable AI Systems", Studies in Computational Intelligence, Springer International Publishing, 2021

J. Pearl, D. Mackenzie, "The Book of Why. The New Science of Cause and Effect", Penguin, 2019

K. Cpalka, "Design of Interpretable Fuzzy Systems", Studies in Computational Intelligence, Springer, 2017

T. Kenesei, J. Abonyi, "Interpretability of Computational Intelligence-Based Regression Models", SpringerBriefs in Computer Science, Springer, 2015

J. Casillas, O. Cordón, F. Herrera, L. Magdalena, "Interpretability Issues in Fuzzy Modeling", 128, Studies in Fuzziness and Soft Computing, Springer, 2003

J. Casillas, O. Cordón, F. Herrera, L. Magdalena, "Accuracy Improvements in Linguistic Fuzzy Modeling", vol. 129, Studies in Fuzziness and Soft Computing, Springer, 2003