Special Issue on Rough Set Theory and Applications

 

Rough set theory is a new mathematical tool for imperfect data analysis. The theory has found applications in many domains, such as engineering, environment, decision support, economics and finance, web and text mining, medicine and others. The goal of this Special Issue is to provide a platform for scientists worldwide to promote, share, and discuss various new issues and developments in the area of rough set theory and applications.

 

In this special issue, we intend to invite front-line researchers and authors to submit original research and review articles on exploring rough set theory and applications. Potential topics include, but are not limited to:

• Foundation and generalization of rough sets
• Near sets, neighborhood rough sets
• Bayesian rough sets
• Probabilistic rough sets
• Rough granular computing
• Rough mereology
• Rough uncertainly
• Applications of rough sets
• Hybridization of rough sets with other approaches

 

Authors should read over the journal’s For Authors carefully before submission. Prospective authors should submit an electronic copy of their complete manuscript through the journal’s Paper Submission System.

 

Please kindly specify the “Special Issue” under your manuscript title. The research field “Special Issue - Rough Set Theory and Applications” should be selected during your submission.

 

Special Issue timetable:

 

 

Guest Editor:

 

 

For further questions or inquiries

Please contact Editorial Assistant at

am@scirp.org