Application of Fuzzy Systems in Artificial Intelligence
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 65
Special Issue Editors
Interests: fuzzy systems; machine learning; soft computing
Special Issues, Collections and Topics in MDPI journals
Interests: computational intelligence; fuzzy logic and evolutionary algorithms; the integration of these research areas with quantum computing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of fuzzy systems into artificial intelligence (AI) has led to significant advancements in handling uncertainty, imprecision, and complex decision-making processes. Fuzzy logic provides a powerful framework to model human reasoning, enabling AI systems to operate in real-world scenarios where classical binary logic is insufficient. This Special Issue aims to explore recent developments, applications, and innovations in fuzzy systems applied to AI, highlighting their role in enhancing machine learning, optimization, data analysis, decision support systems, and intelligent control.
We welcome contributions covering both theoretical advancements and practical implementations of fuzzy logic in AI. Topics of interest include, but are not limited to, the following:
- Fuzzy inference systems for AI-based decision-making;
- Hybrid fuzzy–AI models, including fuzzy neural networks and fuzzy-genetic algorithms;
- Fuzzy clustering and classification techniques for data analysis;
- Fuzzy logic applications in robotics, healthcare, finance, and industrial automation;
- Fuzzy systems software for AI applications;
- Fuzzy logic in construction and risk prevention in the workplace;
- Explainability and interpretability of fuzzy AI models;
- Fuzzy logic in edge computing, IoT, and embedded systems;
- Recent trends in type-2 and higher-order fuzzy systems for AI.
This Special Issue provides an opportunity for researchers and practitioners to present novel methodologies and case studies demonstrating the effectiveness of fuzzy systems in AI-driven applications. We invite high-quality submissions that contribute to the ongoing evolution of this field.
Prof. Dr. Jose Manuel Soto Hidalgo
Dr. Autilia Vitiello
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 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.
Keywords
- fuzzy systems in AI
- fuzzy inference and decision-making
- hybrid fuzzy-AI models
- fuzzy clustering and classification
- fuzzy systems software
- construction and risk prevention
- fuzzy logic in IoT and edge computing
- explainable fuzzy AI
- type-2 and higher-order fuzzy systems
- fuzzy optimization and control
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
