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» Supporting Fuzzy Rough Sets in Fuzzy Description Logics
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FUZZIEEE
2007
IEEE
14 years 1 months ago
Tolerance-based and Fuzzy-Rough Feature Selection
— One of the main obstacles facing the application of computational intelligence technologies in pattern recognition (and indeed in many other tasks) is that of dataset dimension...
Richard Jensen, Qiang Shen
FSKD
2007
Springer
102views Fuzzy Logic» more  FSKD 2007»
13 years 9 months ago
Statistical and Fuzzy Approach for Database Security
A new type of database anomaly is described by addressing the concept of Cumulated Anomaly in this paper. Dubiety-Determining Model (DDM), which is a detection model basing on sta...
Gang Lu, Junkai Yi, Kevin Lü
FSKD
2007
Springer
126views Fuzzy Logic» more  FSKD 2007»
14 years 1 months ago
Rough Set Model Selection for Practical Decision Making
One of the challenges a decision maker faces is choosing a suitable rough set model to use for data analysis. The traditional algebraic rough set model classifies objects into th...
Joseph P. Herbert, Jingtao Yao
RSCTC
2004
Springer
150views Fuzzy Logic» more  RSCTC 2004»
14 years 25 days ago
Extracting Protein-Protein Interaction Sentences by Applying Rough Set Data Analysis
illion abstracts. Problem. How to find sentences that talk about protein-protein interactions? Example (Non-Interaction Sentence) All our data are consistent with models in which ...
Filip Ginter, Tapio Pahikkala, Sampo Pyysalo, Jorm...
FSS
2007
102views more  FSS 2007»
13 years 7 months ago
Extraction of fuzzy rules from support vector machines
The relationship between support vector machines (SVMs) and Takagi–Sugeno–Kang (TSK) fuzzy systems is shown. An exact representation of SVMs as TSK fuzzy systems is given for ...
Juan Luis Castro, L. D. Flores-Hidalgo, Carlos Jav...