Abstract is missing.
- Machine Learning for an Adaptive Rule BaseMichal Jaluvka, Eva Volná. 3-16 [doi]
- Data-Driven Induction of Shadowed Sets Based on Grade of FuzzinessDario Malchiodi, Anna Maria Zanaboni. 17-28 [doi]
- Test-Cost-Sensitive Quick ReductAlessio Ferone, Tsvetozar Georgiev, Antonio Maratea. 29-42 [doi]
- On the Problem of Possibilistic-Probabilistic Optimization with Constraints on Possibility/ProbabilityAlexander V. Yazenin, Ilia Soldatenko. 43-54 [doi]
- Any F-Transform Is Defined by a Powerset TheoryJirí Mockor. 55-66 [doi]
- Soft Clustering: Why and How-ToStefano Rovetta, Francesco Masulli. 67-82 [doi]
- A Cloud Fuzzy Logic Framework for Oral Disease Risk AssessmentGloria Gonella, Elisabetta Binaghi, Alberto A. Vergani, Irene Biotti, Luca Levrini. 85-96 [doi]
- A Fuzzy Rule-Based Decision Support System for Cardiovascular Risk AssessmentGabriella Casalino, Giovanna Castellano, Ciro Castiello, Vincenzo Pasquadibisceglie, Gianluca Zaza. 97-108 [doi]
- Enhancing the DISSFCM Algorithm for Data Stream ClassificationGabriella Casalino, Giovanna Castellano, Anna Maria Fanelli, Corrado Mencar. 109-122 [doi]
- Fuzzy Similarity-Based Hierarchical Clustering for Atmospheric Pollutants PredictionFrancesco Camastra, Angelo Ciaramella, Le Hoang Son, Angelo Riccio, Antonino Staiano. 123-133 [doi]
- A Neuro-Fuzzy Approach to Assess the Soft Skills Profile of a PhDAntonia Azzini, Stefania Marrara, Amir Topalovic. 134-147 [doi]
- Two SMART Fuzzy Aggregation OperatorsAndrea Capotorti, Gianna Figà-Talamanca. 151-163 [doi]
- Towards a Fuzzy Index of SkewnessSilvia Muzzioli, Luca Gambarelli, Bernard De Baets. 164-175 [doi]
- Grading by Committees: An Axiomatic ApproachMarta Cardin, Silvio Giove. 176-182 [doi]
- Minimum of Constrained OWA Aggregation Problem with a Single ConstraintLucian C. Coroianu, Robert Fullér. 183-192 [doi]
- An Alpha-Cut Evaluation of Interval-Valued Fuzzy Sets for Application in Decision MakingLuca Anzilli, Gisella Facchinetti. 193-211 [doi]
- Paving the Way to Explainable Artificial Intelligence with Fuzzy Modeling - TutorialCorrado Mencar, José M. Alonso. 215-227 [doi]
- The Fuzzy Logic Gambit as a Paradigm of Lotfi's ProposalsMarco Elio Tabacchi, Settimo Termini. 231-235 [doi]
- How Best to Design Fuzzy Sets and Systems - In Memory of Prof. Lotfi A. ZadehPlamen Angelov. 236-239 [doi]
- Some Thoughts About Appealing Directions for the Future of Fuzzy Theory and Technologies Along the Path Traced by Lotfi ZadehDario Malchiodi. 240-243 [doi]
- From Zadeh's Computing with Words Towards eXplainable Artificial IntelligenceJosé M. Alonso. 244-248 [doi]
- Looking at the Branches and RootsCorrado Mencar. 249-252 [doi]
- Deep Neural Networks and Explainable Machine LearningAntonio Maratea, Alessio Ferone. 253-256 [doi]
- Fuzzy Models for Big Data MiningPietro Ducange. 257-260 [doi]
- The Challenges of Big Data and the Contribution of Fuzzy LogicFrancesco Masulli, Stefano Rovetta. 261-264 [doi]
- The Future of Fuzzy Sets in Finance: New Challenges in Machine Learning and Explainable AISilvia Muzzioli. 265-268 [doi]
- New Trends of Fuzzy Systems: Fintech ApplicationsAntonia Azzini, Stefania Marrara, Amir Topalovic. 269-272 [doi]