Fuzzy Logic and Explainable AI in Mathematical Decision-Making

Dear Colleagues,

This Special Issue explores the integration of fuzzy logic models and interpretable machine learning techniques as fundamental tools for advanced decision-making in uncertain and multidimensional environments. While traditional processes tend to rely on numerical precision, real-world problems require integrating quantitative and qualitative variables, subjective evaluations, and flexible reasoning.

We invite proposals that examine how mathematical modeling, fuzzy systems, and explainable AI (XAI) can enhance transparency and interpretability in decision-making. Topics include, but are not limited to, fuzzy clustering, linguistic decision models (e.g., AHP, 2-tuple), hybrid approaches that combine data-driven prediction with expert knowledge, and interpretable AI techniques such as SHAP, LIME, PDP, ELI5, or rule-based systems.

This Special Issue encourages both theoretical and applied research in multidisciplinary contexts where decision-making plays a central role, such as business, healthcare, physics, engineering, education, and environmental sciences.

We request contributions that support a human-centered, explainable, and mathematically based approach to intelligent systems. By combining accuracy with interpretability, we will foster predictive and explainable models that enhance strategic decision-making, placing critical thinking and human judgment at the core of responsible and transparent AI-driven decisions.

We welcome theoretical, methodological, and applied research contributions on topics such as the following:

• Fuzzy systems and uncertainty modeling;
• AHP and multi-criteria optimization;
• XAI techniques (e.g., SHAP, LIME, PDP, ICE, ELI5);
• Hybrid and interpretable mathematical models;
• Applications in physics, engineering, healthcare, environmental science, and education;
• Integration of simulation and data modeling with interpretability;
• Case studies based on the FAS-XAI framework.

Prof. Dr. Ramón Carrasco
Dr. Gabriel Marín Díaz
Prof. Dr. Diego Rubén Rodríguez
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• explainable artificial intelligence (XAI)
• fuzzy logic
• decision models
• fuzzy clustering
• data science
• machine learning
• human-centered AI
• applied decision-making