Sciweavers

8 search results - page 1 / 2
» Finding Rough Set Reducts with SAT
Sort
View
RSFDGRC
2005
Springer
190views Data Mining» more  RSFDGRC 2005»
13 years 10 months ago
Finding Rough Set Reducts with SAT
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
Richard Jensen, Qiang Shen, Andrew Tuson
HIS
2009
13 years 2 months ago
A Swarm-Based Rough Set Approach for Group Decision Support Systems
This paper present a class of investment problem, in which many items could be chosen in a group decision environment. Usually there is a decision table from the board of director...
Mingyan Zhao, Hongbo Liu, Ajith Abraham, Emilio Co...
TSMC
2010
12 years 11 months ago
Incomplete Multigranulation Rough Set
The original rough-set model is primarily concerned with the approximations of sets described by a single equivalence relation on a given universe. With granular computing point of...
Yuhua Qian, Jiye Liang, Chuangyin Dang
PRL
2007
180views more  PRL 2007»
13 years 4 months ago
Feature selection based on rough sets and particle swarm optimization
: We propose a new feature selection strategy based on rough sets and Particle Swarm Optimization (PSO). Rough sets has been used as a feature selection method with much success, b...
Xiangyang Wang, Jie Yang, Xiaolong Teng, Weijun Xi...
KAIS
2000
86views more  KAIS 2000»
13 years 4 months ago
A Mathematical Foundation for Improved Reduct Generation in Information Systems
When data sets are analyzed, statistical pattern recognition is often used to find the information hidden in the data. Another approach to information discovery is data mining. Dat...
Janusz A. Starzyk, Dale E. Nelson, Kirk Sturtz