International Journal of Rough Sets and Data Analysis (IJRSDA)

Submit a Paper to the International Journal of Rough Sets and Data Analysis (IJRSDA)

Published Quarterly. Est. 2014.

The International Journal of Rough Sets and Data Analysis (IJRSDA) is a multidisciplinary journal that publishes high-quality and significant research in all fields of rough sets, granular computing, and data mining techniques. Rough set theory is a mathematical approach concerned with the analysis and modeling of classification and decision problems involving vague, imprecise, uncertain, or incomplete information. Rough sets have been proposed for a variety of applications, including artificial intelligence and cognitive sciences, especially machine learning, knowledge discovery, data mining, expert systems, approximate reasoning, and pattern recognition. The journal extends existing research findings (theoretical innovations and modeling applications) to provide the highest quality original concepts, hybrid applications, innovative methodologies, and development trends studies for all audiences. This journal publishes original articles, reviews, technical reports, patent alerts, and case studies on the latest innovative findings of new methodologies and techniques.

ISSN: 2334-4598|EISSN: 2334-4601|DOI: 10.4018/IJRSDA
The Editor-in-Chief of the International Journal of Rough Sets and Data Analysis (IJRSDA) would like to invite you to consider submitting a manuscript for inclusion in this scholarly journal. The following describes the mission, coverage, and guidelines for submission to IJRSDA.


The mission of International Journal of Rough Sets and Data Analysis (IJRSDA) is to provide an international forum for organizational and governmental practitioners, researchers, information technology professionals, software developers, and vendors to exchange useful and innovative ideas within the field. Offering perspectives of global experts, IJRSDA delves deeper into rough set theory, issuing the latest developments and breakthroughs in the application of rough set to engineering, economic, management, medical, social, and other systems. The journal succeeds in expanding the fields and depths of the most principal and critical concepts forming a more matured research society.


Topics to be discussed in this journal include (but are not limited to) the following:

  • Approximate and probabilistic reasoning
  • Biomedical science
  • Computing with words
  • Connectionist expert systems
  • Data mining
  • Data security
  • Decision theory
  • Dominance-based rough set
  • Evolutionary computing
  • Fuzzy expert systems
  • Fuzzy set theory and applications
  • Genetic fuzzy systems
  • Granular computing theory and applications
  • Granular rough-fuzzy networks
  • Hybrid connectionist-symbolic models
  • Intelligent agent modeling
  • Intelligent control
  • Knowledge discovery process
  • Machine learning
  • Neural networks
  • Neuro-fuzzy systems
  • Rough fuzzy hybridization
  • Rough set algebras
  • Rough set theory
  • Rough sets and near sets
  • Rough-granular computing
  • Semantics of rough logic
  • Web informatics
  • Web intelligence and mining


Prospective authors should note that only original and previously unpublished articles will be considered. INTERESTED AUTHORS MUST CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at PRIOR TO SUBMISSION. All article submissions will be forwarded to at least 3 members of the Editorial Review Board of the journal for double-blind, peer review. Final decision regarding acceptance/revision/rejection will be based on the reviews received from the reviewers. All submissions must be forwarded electronically.

All submissions and inquiries should be directed to the attention of:

Nilanjan Dey
International Journal of Rough Sets and Data Analysis (IJRSDA)