Rough sets and knowledge technology: 6th international conference, RSKT 2011, Banff, C…
by Ramanna, Sheela, Wang, Guoyin, Suraj, Zbigniew, Yao, Jing Tao, RSKT, Banff, Alberta, International Conference on Rough Sets and Knowledge Technology, Banff), RSKT, Banff)
fromLecture Notes in Computer Science
Rough sets, fuzzy sets, data mining and granular computing: 13th international conference, RSFDGrC 2011, Mosc…
by Ślęzak, Dominik, Kuznetsov, Sergei O., Mirkin, Boris G., Hepting, Daryl H., RSFDGrC, Moskau, International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, Moscow), RSFDGrC, Moscow)
fromLecture Notes in Computer Science
This title provides an in-depth treatment of hierarchical problem solving, computational complexity, and the principles and applications of multi-granular computing, including inference, information fusing, planning, and heuristic search. The book explains the theory of hierarch…
Quotient Space Based Problem Solving provides an in-depth treatment of hierarchical problem solving, computational complexity, and the principles and applications of multi-granular computing, including inference, information fusing, planning, and heuristic search. Explains the t…
Quotient Space Based Problem Solving provides an in-depth treatment of hierarchical problem solving, computational complexity, and the principles and applications of multi-granular computing, including inference, information fusing, planning, and heuristic search. Explains the t…
Quotient Space Based Problem Solving provides an in-depth treatment of hierarchical problem solving, computational complexity, and the principles and applications of multi-granular computing, including inference, information fusing, planning, and heuristic search. Explains the t…
Provides an in-depth treatment of hierarchical problem solving, computational complexity, and the principles and applications of multi-granular computing, including inference, information fusing, planning, and heuristic search.
"This book discusses current topics in rough set theory. Since Pawlak’s 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 issu…