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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
RSCTC
2000
Springer
113views Fuzzy Logic» more  RSCTC 2000»
13 years 11 months ago
Approximation of Information Granule Sets
The aim of the paper is to present basic notions related to granular computing, namely the information granule syntax and semantics as well as the inclusion and closeness (similari...
Andrzej Skowron, Jaroslaw Stepaniuk, James F. Pete...
EUSFLAT
2003
146views Fuzzy Logic» more  EUSFLAT 2003»
13 years 9 months ago
Clarifying Elkan's theoretical result
This paper is devoted to clarify the only theoretical result included in the controversial work of C. Elkan “The paradoxical success of fuzzy logic” (1994), by offering both a...
Ana Pradera, Enric Trillas, Claudio Moraga
RSCTC
2010
Springer
142views Fuzzy Logic» more  RSCTC 2010»
13 years 5 months ago
Learning from Imbalanced Data in Presence of Noisy and Borderline Examples
In this paper we studied re-sampling methods for learning classifiers from imbalanced data. We carried out a series of experiments on artificial data sets to explore the impact of ...
Krystyna Napierala, Jerzy Stefanowski, Szymon Wilk
RSCTC
2010
Springer
155views Fuzzy Logic» more  RSCTC 2010»
13 years 5 months ago
A Fast Randomisation Test for Rule Significance
Randomisation is a method to test the statistical significance of a symbolic rule; it is, however, very expensive. In this paper we present a sequential randomisation test which d...
Ivo Düntsch, Günther Gediga