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» A Comparative Study of Fuzzy Sets and Rough Sets
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BMCBI
2010
190views more  BMCBI 2010»
14 years 12 months ago
Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification alg
Background: Data generated using `omics' technologies are characterized by high dimensionality, where the number of features measured per subject vastly exceeds the number of...
Yu Guo, Armin Graber, Robert N. McBurney, Raji Bal...
IJBC
2008
71views more  IJBC 2008»
14 years 12 months ago
A Numerical Study of Capsizing: Comparing Control Set Analysis and Melnikov's Method
Abstract: Two models for ship roll motion and capsizing under stochastic excitation are analyzed using Melnikov's method and control set analysis. The predictions given by the...
Fritz Colonius, Albert Marquardt, Edwin Kreuzer, W...
IDEAL
2005
Springer
15 years 5 months ago
A Comparative Study of Two Novel Predictor Set Scoring Methods
Due to the large number of genes measured in a typical microarray dataset, feature selection plays an essential role in tumor classification. In turn, relevance and redundancy are ...
Chia Huey Ooi, Madhu Chetty
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
15 years 6 months ago
Methodology to select solutions from the pareto-optimal set: a comparative study
The resolution of a Multi-Objective Optimization Problem (MOOP) does not end when the Pareto-optimal set is found. In real problems, a single solution must be selected. Ideally, t...
José C. Ferreira, Carlos M. Fonseca, Ant&oa...
HAIS
2008
Springer
15 years 27 days ago
Approximate Versus Linguistic Representation in Fuzzy-UCS
Abstract. This paper introduces an approximate fuzzy representation to FuzzyUCS, a Michigan-style Learning Fuzzy-Classifier System that evolves linguistic fuzzy rules, and studies ...
Albert Orriols-Puig, Jorge Casillas, Ester Bernad&...