FUZZ-IEEE 18: Advances and applications of Rough sets and Fuzzy Rough
Organized by Ahmad Taher Azar, (firstname.lastname@example.org), Valentina E. Balas, Camelia Pintea
Rough set theory is a new mathematical approach to imperfect knowledge. Rough sets have been proposed for a very wide variety of applications. In particular, the rough set approach seems to be important for Artificial Intelligence and cognitive sciences, especially in machine learning, knowledge discovery, data mining, expert systems, approximate reasoning and pattern recognition. The objective of this special session is to showcase the real-world applications of rough sets and fuzzy rough sets.
Scope and Topics
The aim of this special session is to provide an opportunity for international researchers to share and review recent advances in the foundations, integration architectures, and applications of bio- inspired optimization techniques with rough set and fuzzy rough. The special session aims to solicit original, full length original articles on new findings and developments from researchers, academicians and practitioners from industries, in the area of rough set theory, fuzzy rough, knowledge discovery and data mining.The topics of interest include, but are not limited to: