Fuzzy Logic and Artificial Intelligence: Emerging Techniques and Their Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 April 2026 | Viewed by 34
Special Issue Editors
Interests: fuzzy logic; artificial intelligence; machine learning; digital health; indoor location
Special Issue Information
Dear Colleagues,
Artificial intelligence has achieved significant progress in recent years, yet many state-of-the-art models remain opaque and difficult to interpret. This lack of transparency poses challenges in critical domains where trust and accountability are essential. Fuzzy logic offers a rigorous and mathematically grounded approach to enhance interpretability by introducing rule-based reasoning and linguistic representations capable of modelling uncertainty in a human-comprehensible manner.
This Special Issue is dedicated to exploring the integration of fuzzy logic with modern artificial intelligence to address emerging challenges in modelling, perception, prediction, and decision making. Healthcare applications exemplify the importance of this integration, where transparency and reliability are vital for clinical decision support, but the scope is not confined to this domain. Contributions from any domain are welcome, including, but not limited to, healthcare, robotics, industrial automation, smart cities, environmental monitoring, finance, and education.
By gathering methodological innovations, hybrid fuzzy–AI models, and application-driven studies, this Special Issue aims to advance both theoretical foundations and practical implementations that promote interpretable, trustworthy, and effective intelligent systems.
Dr. José Luis López Ruiz
Prof. Dr. Jose-Maria Serrano Chica
Guest Editors
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Keywords
- fuzzy logic
- interpretability in artificial intelligence
- hybrid fuzzy–AI models
- decision making under uncertainty
- human-centric intelligent systems
- theoretical and methodological advances
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