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» Rough Sets and Three-Way Decisions
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AI
1998
Springer
13 years 9 months ago
Uncertainty Measures of Rough Set Prediction
The main statistics used in rough set data analysis, the approximation quality, is of limited value when there is a choice of competing models for predicting a decision variable. ...
Ivo Düntsch, Günther Gediga
ICNC
2009
Springer
14 years 2 months ago
Knowledge Acquisition Approach Based on Rough Set and Artificial Neural Network in Product Design Process
In this paper, product structure is taken as knowledge acquisition point, and the effective knowledge acquisition path is discussed by establishing the associated relationship bet...
Changfeng Yuan, Wanlei Wang, Yan Chen
FBIT
2007
IEEE
14 years 4 months ago
Rough Set Based Information Retrieval from Argumentative Data Points in Weblogs
This paper describes a decision tree model and 3dimensional representation of information retrieved from various weblogs in relation to argumentative logics. The weblogs are consi...
Sea Woo Kim, Chin-Wan Chung
ASC
2011
13 years 4 months ago
A rough set approach to multiple dataset analysis
In the area of data mining, the discovery of valuable changes and connections (e.g., causality) from multiple data sets has been recognized as an important issue. This issue essen...
Ken Kaneiwa
RSFDGRC
2005
Springer
134views Data Mining» more  RSFDGRC 2005»
14 years 3 months ago
The Computational Complexity of Inference Using Rough Set Flow Graphs
Pawlak recently introduced rough set flow graphs (RSFGs) as a graphical framework for reasoning from data. Each rule is associated with three coefficients, which have been shown t...
Cory J. Butz, Wen Yan, Boting Yang