International Journal of Rough Sets and Data Analysis (IJRSDA) (ISSN: 2334-4598)

Description

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
Mission
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. innovative findings of new methodologies and techniques.