Journal of Fuzzy Intelligence

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Journal of Fuzzy Intelligence

The Journal of Fuzzy Intelligence invites researchers, academicians, and practitioners to submit their original research articles, review papers, and case studies for the upcoming issue.

We welcome high-quality submissions in, but not limited to, the following areas:

- Fuzzy Logic and Systems
- Fuzzy Decision Making
- Fuzzy Neural Networks
- Computational Fuzzy Intelligence
- Fuzzy Control Systems
- Applied Fuzzy Set Theory
- Fuzzy Differential Equations (PDEs & ODEs)
- Fuzzy Integral Equations
- Hybrid Intelligent Systems (Fuzzy + AI/ML)
- Applications of Fuzzy Systems in Engineering, Medicine, Economics, and Data Science

Submission Guidelines:

- Manuscripts must be original and unpublished
- All submissions will undergo a rigorous peer-review process
- Papers should follow the journal formatting guidelines

Online Submission:
mathfuzzyjournal.com

We look forward to your valuable contributions in advancing the field of fuzzy intelligence.

Editorial Board
Journal of Fuzzy Intelligence

https://mathfuzzyjournal.com/index.php/JFI/article/view/16

Development of Non-linear Diophantine Linguistic Term Sets and Their Application in Decision-Making Problems In this study, we introduce a new notion called non-linear Diophantine linguistic term sets, which is a hybrid of the non-linear Diophantine fuzzy set and linguistic term sets. Initially, we will go over the fundamental idea of fuzzy sets and its generalization. Discuss both linear and nonlinear Dio...

📢 Announcing the Publication of Volume 1 (Issue 1–2)
📘 Journal of Fuzzy Intelligence (JFI)
We are proud to announce the successful publication of the complete Volume 1, Issue 1–2 of the Journal of Fuzzy Intelligence.
This inaugural volume brings together high-quality research contributions in the areas of:
🔹 Fuzzy Logic & Fuzzy Set Theory
🔹 Multi-Criteria Decision Making (MCDM)
🔹 Intelligent Systems
🔹 Artificial Intelligence Applications
🔹 Fuzzy Optimization & Decision Sciences
🔹 Uncertainty Modeling
✨ The published articles introduce innovative methodologies, advanced mathematical models, and practical applications addressing real-world complex decision problems under uncertainty.
This milestone reflects our commitment to promoting impactful research in fuzzy intelligence and decision sciences at both national and international levels.
We extend our sincere gratitude to: ✔️ All contributing authors
✔️ Editorial Board members
✔️ Reviewers
✔️ Research community for their trust and support
📖 Volume 1 (Issue 1–2) is now available for readers and researchers.

https://mathfuzzyjournal.com/index.php/JFI/issue/view/vol-1-no-01-2025

We warmly invite scholars to submit their high-quality manuscripts for upcoming issues.

mathfuzzyjournal.com

📢 New Research Publication Announcement
We are pleased to share that the first research article titled:
“Development of Multi-Criteria Decision Models using COPRAS Method through Pythagorean Cubic Fuzzy Numbers”
has been successfully published in Journal of Fuzzy Intelligence (JFI)
📘 Volume 1, Issue 1–2
🔎 About the Study:
This research presents an advanced multi-criteria decision-making (MCDM) framework based on the COPRAS method integrated with Pythagorean Cubic Fuzzy Numbers (PCFNs). The proposed model enhances decision accuracy and handles uncertainty more effectively in complex real-world problems.
📊 The study contributes to: ✔️ Advanced fuzzy decision modeling
✔️ Intelligent decision-support systems
✔️ Handling uncertainty in multi-criteria environments
✔️ Practical applications in engineering, management, and AI-based systems
This publication marks an important milestone in promoting high-quality research in fuzzy logic, intelligent systems, and decision sciences.
🌐 Published in: Journal of Fuzzy Intelligence
📖 Volume 1, Issue 1–2
We invite researchers and academicians to explore the article and contribute to upcoming issues of JFI.

https://mathfuzzyjournal.com/index.php/JFI/article/view/JFI-2025-01

Development of Multi-Criteria Decision Models using COPRAS Method through Pythagorean Cubic Fuzzy Numbers In this paper, we develop a novel decision-making model under the Pythagorean cubic fuzzy set (PCFS). PCFS prepare the larger space to explain the agreement, disagreement and hesitancy grades. Proportional assessment (COPRAS) methodology is one of the well-known multiple criteria group decision-maki...