Special Issue: Advances in Rough and Fuzzy Set Theories: Topological Structures, Granular Reasoning, and Intelligent Data Analysis
Overview
The theory of rough sets offers a powerful framework for managing uncertainty, vagueness, and granularity in data, playing a pivotal role in intelligent data analysis and decision-making processes. While originally grounded in equivalence relations, modern developments have explored the use of generalized relations, neighborhood systems, and topological structures to address the limitations of the classical framework.
This special issue invites original research contributions that explore the integration of rough set theory with topological and granular computing techniques to tackle emerging challenges in uncertain and heterogeneous data environments. A special emphasis will be placed on interdisciplinary applications in fields such as medicine, healthcare, artificial intelligence, and computational topology, where data complexity, high dimensionality, and uncertainty pose significant analytical challenges.
Scope of the Special Issue
We invite submissions in (but not limited to) the following areas:
- Topological generalizations of rough set theory
- Neighborhood systems and covering-based rough sets
- Insightful reasoning mechanisms in uncertain environments
- Applications of rough topology in data mining and machine learning
- Soft, fuzzy, and hybrid rough set approaches
- Multimodal data analysis using rough and topological frameworks
- Granular computing and knowledge discovery in healthcare data
- Interpretability and approximation in intelligent systems
- Rough sets in high-dimensional or imbalanced medical datasets
- Computational models combining topology and AI for decision support
Keywords
Rough sets; Topological structures; Uncertainty modeling; Granular computing; Multimodal data; Intelligent reasoning; Soft computing; Healthcare data analysis
Guest Editor
Dr. Baravan A. Asaad
Department of Mathematics at the College of Science, University of Zakho, Iraq
Email: baravan.asaad@uoz.edu.krd
ORCID: https://orcid.org/0000-0002-2049-2044
ResearchGate: https://www.researchgate.net/profile/Baravan-Asaad
Biographical Note: Baravan A. Asaad received his BSc and MSc degrees in Mathematics from the University of Duhok, Iraq, in 2003 and 2008, respectively. He completed his PhD in Mathematics from Universiti Utara Malaysia in 2015. He is currently a professor in the Department of Mathematics at the College of Science, University of Zakho, Iraq. His research interests include general topology, fuzzy set theory, soft set theory, fuzzy topology, soft topology, and their applications in decision-making. Dr. Asaad currently has an h-index of 17 on Google Scholar with more than 945 citations, and an h-index of 12 on SCOPUS.
Co-Guest Editor
Dr. Mostafa K. El-Bably
Department of Mathematics, Faculty of Science, Tanta University, Egypt
Email: mkamel_bably@yahoo.com
ORCID: https://orcid.org/0000-0002-7779-2443
ResearchGate: https://www.researchgate.net/profile/Dr-Mostafa-El-Bably
Biographical Note: Dr. Mostafa K. El-Bably is a researcher in the field of mathematical sciences with a particular focus on topology and its interdisciplinary applications. He received his M.Sc. in Pure Mathematics (Topology) from the Faculty of Science, Tanta University, Egypt, in 2008, where he specialized in “Generalized Approximation Spaces.” In 2015, he was awarded a Ph.D. in Mathematics from the same institution, with a dissertation centered on “Granular Computing and Topological Structures.” Dr. El-Bably has an extensive publication record, having authored numerous papers in international, peer-reviewed ISI-indexed journals and conferences. His primary research interests include topology, rough sets, fuzzy sets, soft sets, and granular computing—fields in which he has made significant theoretical and applied contributions.
Currently, Dr. El-Bably holds an h-index of 20 on Google Scholar, with over 1040 citations, and an h-index of 17 on SCOPUS. His academic influence and innovative approach have positioned him as a key figure in exploring the integration of topological concepts with computational intelligence frameworks.
Important Dates
- Submission Opens:May 1, 2025
- Final Manuscript Deadline:December 31, 2025
- Editorial Acceptance Deadline:March 31, 2026
Submissions should present original and high-quality research that is not currently under review elsewhere. All manuscripts will undergo a rigorous double-blind peer review process. Previously published conference papers must be substantially extended and clearly identified during submission.
Submission Information
Submit it online: http://ojs.wiserpub.com/index.php/CM/user/register
Or send it to the email address: editorial-cm@wiserpub.com
Submission Guideline
https://ojs.wiserpub.com/index.php/CM/about/submissions
For any inquiries about this Special Issue, please contact the Editors via editorial-cm@wiserpub.com