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» A new extension of fuzzy sets using rough sets: R-fuzzy sets
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ASC
2011
13 years 2 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
RSCTC
2000
Springer
139views Fuzzy Logic» more  RSCTC 2000»
13 years 11 months ago
Application of Normalized Decision Measures to the New Case Classification
The optimization of rough set based classification models with respect to parameterized balance between a model's complexity and confidence is discussed. For this purpose, the...
Dominik Slezak, Jakub Wroblewski
FUZZIEEE
2007
IEEE
14 years 1 months ago
Distance Measure Assisted Rough Set Feature Selection
Abstract— Feature Selection (FS) is a technique for dimensionality reduction. Its aims are to select a subset of the original features of a dataset which are rich in the most use...
Neil MacParthalain, Qiang Shen, Richard Jensen
ICCBR
2001
Springer
13 years 12 months ago
A Fuzzy-Rough Approach for Case Base Maintenance
Abstract. This paper proposes a fuzzy-rough method of maintaining CaseBased Reasoning (CBR) systems. The methodology is mainly based on the idea that a large case library can be tr...
Guoqing Cao, Simon C. K. Shiu, Xizhao Wang
RSCTC
2004
Springer
164views Fuzzy Logic» more  RSCTC 2004»
14 years 22 days ago
Rough Set Methodology in Clinical Practice: Controlled Hospital Trial of the MET System
Abstract. Acute abdominal pain in childhood is a common but diagnostically challenging problem facing Emergency Department personnel. Experienced physicians use a combination of ke...
Ken Farion, Wojtek Michalowski, Roman Slowinski, S...