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» Rough Sets in Perception-Based Computing
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SOCO
2008
Springer
13 years 9 months ago
Tabu search for attribute reduction in rough set theory
Attribute reduction of an information system is a key problem in rough set theory and its applications. Using computational intelligence (CI) tools to solve such problems has rece...
Abdel-Rahman Hedar, Jue Wang, Masao Fukushima
IBERAMIA
2004
Springer
14 years 3 months ago
Applying Rough Sets Reduction Techniques to the Construction of a Fuzzy Rule Base for Case Based Reasoning
Early work on Case Based Reasoning reported in the literature shows the importance of soft computing techniques applied to different stages of the classical 4-step CBR life cycle. ...
Florentino Fdez-Riverola, Fernando Díaz, Ju...
FUIN
2002
123views more  FUIN 2002»
13 years 9 months ago
Learning Rough Set Classifiers from Gene Expressions and Clinical Data
Biological research is currently undergoing a revolution. With the advent of microarray technology the behavior of thousands of genes can be measured simultaneously. This capabilit...
Herman Midelfart, Henryk Jan Komorowski, Kristin N...
RSCTC
2004
Springer
215views Fuzzy Logic» more  RSCTC 2004»
14 years 3 months ago
On the Evolution of Rough Set Exploration System
Abstract. We present the next version (ver. 2.1) of the Rough Set Exploration System – a software tool featuring a library of methods and a graphical user interface supporting va...
Jan G. Bazan, Marcin S. Szczuka, Arkadiusz Wojna, ...
EWCBR
2006
Springer
14 years 1 months ago
Rough Set Feature Selection Algorithms for Textual Case-Based Classification
Feature selection algorithms can reduce the high dimensionality of textual cases and increase case-based task performance. However, conventional algorithms (e.g., information gain)...
Kalyan Moy Gupta, David W. Aha, Philip Moore