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International Journal of Fuzzy Logic Systems (IJFLS)

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Publisher:
AIRCC
ISSN:
1839-6283
Viewed:
23495
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Call For Papers

International Journal of Fuzzy Logic Systems (IJFLS) is an academic journal published by AIRCC. (ISSN 1839-6283).

International Journal of Fuzzy Logic Systems (IJFLS) ISSN : 1839-6283 https://wireilla.com/ijfls/index.html Scope & Topics International Journal of Fuzzy Logic Systems is an open access peer-reviewed journal that covers all topics in theoretical, experimental and applied fuzzy techniques and systems. It is aimed to bring together researchers and developers from both academia and industry to discuss the latest scientific and theoretical advances in this field, and to demonstrate the state-of-the-art systems. The journal solicits original technical papers that were not previously published and are not currently under review for publication elsewhere. Topics to be discussed in this journal include (but are not limited to) the following: Foundations of Fuzzy Logic and Uncertainty Modeling • Fuzzy logic theory, algorithms and computation • Generalized fuzzy sets, type 2 and higher order fuzzy systems • Fuzzy measures, integrals and uncertainty quantification • Possibility theory, imprecise probabilities and belief structures • Approximate reasoning and soft computing frameworks Fuzzy Systems in Artificial Intelligence and Machine Learning • Neuro fuzzy learning systems and deep neuro fuzzy architectures • Fuzzy logic in deep learning, reinforcement learning and large scale neural networks • Fuzzy clustering, fuzzy pattern recognition and fuzzy feature extraction • Fuzzy logic for explainable AI (XAI) and interpretable machine learning • Fuzzy logic in trustworthy, safe and robust AI • Fuzzy logic for big data analytics and high dimensional learning • Fuzzy logic for data efficient, online and incremental learning Hybrid and Computational Intelligence Systems • Hybrid fuzzy systems (fuzzy neuro evolutionary probabilistic rough) • Fuzzy logic integrated with swarm intelligence and evolutionary computation • Fuzzy Bayesian models and probabilistic fuzzy hybrid reasoning • Fuzzy logic in multi agent systems and distributed intelligence Modelling, Control and Optimization • Fuzzy modeling, system identification and adaptive fuzzy systems • Intelligent control, fuzzy control of nonlinear and uncertain systems • Fuzzy optimization and multi objective decision making • Fuzzy decision analysis, decision support systems and risk assessment • Fuzzy logic in autonomous systems, robotics and intelligent vehicles Fuzzy Systems in Emerging Technologies • Fuzzy logic in autonomous driving, drones and intelligent transportation • Fuzzy systems in robotics, human AI interaction and collaborative robots • Fuzzy logic in IoT, edge computing and cyber physical systems • Fuzzy logic in cybersecurity, anomaly detection and threat modeling • Fuzzy logic in healthcare AI, medical diagnostics and biomedical systems • Fuzzy logic in environmental modeling, climate systems and sustainability analytics • Fuzzy logic in smart manufacturing, Industry 4.0 and digital twins Fuzzy Systems in Computing, Vision and Language • Fuzzy logic in computer vision, image processing and pattern analysis • Fuzzy logic in natural language processing and multimodal AI • Fuzzy information systems, knowledge representation and semantic computing • Fuzzy logic in recommender systems, consumer analytics and intelligent services Interdisciplinary and Applied Fuzzy Systems • Fuzzy logic in finance, economics and market prediction • Fuzzy logic in social systems, behavioral modeling and decision psychology • Fuzzy systems in logistics, supply chains and operations research • Fuzzy logic in education, learning analytics and cognitive modeling Special Emerging Topics • Fuzzy logic for explainable deep learning • Fuzzy logic in safety critical and mission critical AI • Fuzzy logic for AI governance, ethics and trustworthiness • Fuzzy logic in quantum computing and quantum machine learning • Fuzzy logic for large language models (LLMs) and uncertainty aware NLP • Fuzzy logic in digital twins and simulation based engineering Paper Submission Authors are invited to Submit papers for this journal through Email: [email protected] or through Submission System. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. Important Dates • Submission Deadline : June 10, 2026 • Notification : July 08, 2026 • Final Manuscript Due : July 15, 2026 • Publication Date : Determined by the Editor-in-Chief Contact Us Here's where you can reach us : [email protected] (or) [email protected] For other details please visit: https://wireilla.com/ijfls/index.html
Last updated by Jayden Hunter on

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