This book discusses current topics in rough set theory. Since Pawlaks rough set theory was first proposed to offer a basis for imprecise and uncertain data and reasoning from data, many workers have investigated its foundations and applications. Examining various topical issues,…
by Yao, Yiyu, RSFDGrC, Tientsin, RSFDGrC, International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, Tianjin
fromLecture Notes in Computer Science
"[This book] is a key resource on the latest advances and research regarding the vast range of advanced systems and applications involved in machine intelligence. Highlighting multidisciplinary studies on decision theory, intelligent search, and multi-agent systems, this publica…
"Since their very inception, both fuzzy and rough set theories have earned a reputation owing to their intrinsic capabilities to model uncertainty coming from the real world. The increasing amount of investigations on both subjects reported every year in the literature vouches f…
"Since their very inception, both fuzzy and rough set theories have earned a reputation owing to their intrinsic capabilities to model uncertainty coming from the real world. The increasing amount of investigations on both subjects reported every year in the literature vouches f…
This two-volume set LNAI 10313 and LNAI 10314 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2017, held in Olsztyn, Poland, in July 2017. The 74 revised full papers presented together with 16 short papers and 16 invited talks, were careful…
