Fuzzy Logic

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Overview

Fuzzy logic models vague or uncertain information using graded membership rather than only true-or-false categories, making it useful when boundaries are imprecise or knowledge is expressed in language. Common approaches include Mamdani and Takagi–Sugeno inference, interval Type-2 fuzzy sets, fuzzy cognitive maps, and neuro-fuzzy systems such as ANFIS; these support decision-making, control, forecasting, and classification. Current work also combines fuzzy rules with neural networks and transformers to add uncertainty handling or interpretable reasoning to learned models. A central challenge is balancing readable, compact rules and well-calibrated uncertainty with predictive accuracy, scalability, and reliable evaluation across changing settings.

Latest papers

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48 papers4 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

  1. Interpretable Fuzzy Modeling Reveals Population-Level Representation Differences in P300 Brain Computer Interfaces Across Neurodivergent and Neurotypical Cohorts

    Apr 4, 2026Xiaowei Jiang, Sudong Shang, Adrian Wilkinson +4Brain-Computer InterfacesEEG Decoding

    Computational Intelligence and Brain-Computer Interfaces lab, Australian AI Institute, Faculty of Engineering and Information Technology, University of Technology Sydney, 2007, Australia · Department of Management, Griffith Business School, 4215, Australia · Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, 19104, USA +2

  2. T-Norm Operators for EU AI Act Compliance Classification: An Empirical Comparison of Lukasiewicz, Product, and Gödel Semantics in a Neuro-Symbolic Reasoning System

    Mar 30, 2026Adam LaabsFuzzy LogicNeuro-Symbolic Reasoning

    TriStiX S.L., Altea, Alicante, Spain

  3. FISformer: Replacing Self-Attention with a Fuzzy Inference System in Transformer Models for Time Series Forecasting

    Mar 23, 2026Bulent Haznedar, Levent KaracanTime Series TransformersTime Series Forecasting

    Computer Engineering Department, Gaziantep University, Gaziantep, Türkiye

  4. Quantum Fuzzy Sets Revisited: Density Matrices, Decoherence, and the Q-Matrix Framework

    Mar 22, 2026Mirco A. MannucciFuzzy Logic

  5. Ontology-Based Knowledge Modeling and Uncertainty-Aware Outdoor Air Quality Assessment Using Weighted Interval Type-2 Fuzzy Logic

    Mar 20, 2026Md Inzmam, Ritesh Chandra, Sadhana Tiwari +2Uncertainty QuantificationFuzzy Logic

    Department of Information Technology, Indian Institute of Information Technology Allahabad Prayagraj, India

  6. Survey of Various Fuzzy and Uncertain Decision-Making Methods

    Mar 16, 2026Takaaki Fujita, Florentin SmarandacheDecision-Making under UncertaintyMulti-Criteria Decision Analysis

    Neutrosophic Science International Association (NSIA) Publishing House Gallup - Guayaquil United States of America – Ecuador

  7. GARCH-FIS: A Hybrid Forecasting Model with Dynamic Volatility-Driven Parameter Adaptation

    Mar 16, 2026Wen-Jing Li, Da-Qing ZhangTime Series ForecastingFinancial Time Series

    School of Science, University of Science and Technology Liaoning, Anshan, Liaoning Province, 114051, PR China

  8. A Novel Framework using Intuitionistic Fuzzy Logic with U-Net and U-Net++ Architecture: A case Study of MRI Bain Image Segmentation

    Mar 15, 2026Hanuman Verma, Kiho Im, Akshansh Gupta +1Medical Image SegmentationU-Net

    Department of Mathematics, Bareilly College, Bareilly (MJP Rohilkhand University), Uttar Pradesh, 243005, India · Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA · Division of Newborn Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA +3

  9. A Dynamic Survey of Fuzzy, Intuitionistic Fuzzy, Neutrosophic, Plithogenic, and Extensional Sets

    Mar 12, 2026Takaaki Fujita, Florentin SmarandacheFuzzy Logic

    Neutrosophic Science International Association (NSIA) Publishing House, Gallup - Guayaquil, United States of America – Ecuador

  10. Looking Through Glass Box

    Mar 6, 2026Alexis KafantarisFuzzy Cognitive MapsFuzzy Logic

    Athens University of Economics and Business

  11. fEDM+: A Risk-Based Fuzzy Ethical Decision Making Framework with Principle-Level Explainability and Pluralistic Validation

    Feb 25, 2026Abeer Dyoub, Francesca A. LisiResponsible AIMoral Reasoning

    Dept. of Informatics, University of Bari “Aldo Moro”, Bari, Italy · Centro Interdipartimentale di Logica e Applicazioni (CILA), University of Bari “Aldo Moro”, Bari, Italy

  12. Distilling Deep Reinforcement Learning into Interpretable Fuzzy Rules: An Explainable AI Framework

    Feb 24, 2026Sanup S. Araballi, Simon Khan, Chilukuri K. MohanInterpretability in RLKnowledge Distillation

    Dept. of EECS, Syracuse University, NY 13244, USA · Air Force Research Laboratory, Rome, NY 13441, USA

  13. Alternating Bi-Objective Optimization for Explainable Neuro-Fuzzy Systems

    Feb 22, 2026Qusai Khaled, Uzay Kaymak, Laura GengaExplainable Artificial IntelligenceFuzzy Logic

    Jheronimus Academy of Data Science Eindhoven University of Technology Eindhoven, The Netherlands · School of Industrial Engineering Eindhoven University of Technology Eindhoven, The Netherlands

  14. An order-oriented approach to scoring hesitant fuzzy elements

    Feb 18, 2026Luis Merino, Gabriel Navarro, Carlos Salvatierra +1Fuzzy Logic

    Department of Algebra, University of Granada, Granada, 18071, Spain. · IMAG, University of Granada, Granada, 18071, Spain.

  15. A Study on Multi-Class Online Fuzzy Classifiers for Dynamic Environments

    Feb 16, 2026Kensuke Ajimoto, Yuma Yamamoto, Yoshifumi Kusunoki +1Multiclass ClassificationFuzzy Logic

    Graduate School of Informatics, Osaka Metropolitan University, Osaka, Japan

  16. KANFIS: A Neuro-Symbolic Framework for Interpretable and Uncertainty-Aware Learning

    Feb 3, 2026Binbin Yong, Haoran Pei, Jun Shen +3Interpretable MLFuzzy Logic

    School of Information Science and Engineering, Lanzhou University, China · School of Computing and Information Technology, University of Wollongong, Australia · Department of Data Science and Artificial Intelligence, Monash University, Australia

  17. FANTF: Fuzzy attention network based transformers for time series analysis

    Mar 31, 2025Sanjay Chakraborty, Fredrik HeintzTime Series TransformersTime Series Forecasting

    Department of Computer and Information Science (IDA), REAL, AIICS, Linköping University, Linköping, Sweden

  18. Double Fuzzy Probabilistic Interval Linguistic Term Set and a Dynamic Fuzzy Decision Making Model based on Markov Process with tts Application in Multiple Criteria Group Decision Making

    Nov 30, 2021Zongmin LiuMulti-Criteria Decision AnalysisFuzzy Logic

    Stanford University, Stanford, CA 94305 USA