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» Rough Approximations under Level Fuzzy Sets
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RSCTC
2000
Springer
147views Fuzzy Logic» more  RSCTC 2000»
13 years 9 months ago
Towards Rough Neural Computing Based on Rough Membership Functions: Theory and Application
This paper introduces a neural network architecture based on rough sets and rough membership functions. The neurons of such networks instantiate approximate reasoning in assessing ...
James F. Peters, Andrzej Skowron, Liting Han, Shee...
RSCTC
2000
Springer
146views Fuzzy Logic» more  RSCTC 2000»
13 years 9 months ago
Application of Discernibility Tables to Calculation of Approximate Frequency Based Reducts
Abstract. We provide the unified methodology for searching for approximate decision reducts based on rough membership distributions. Presented study generalizes well known relation...
Maciej Borkowski, Dominik Slezak
RSFDGRC
2011
Springer
287views Data Mining» more  RSFDGRC 2011»
12 years 8 months ago
Towards Faster Estimation of Statistics and ODEs Under Interval, P-Box, and Fuzzy Uncertainty: From Interval Computations to Rou
Interval computations estimate the uncertainty of the result of data processing in situations in which we only know the upper bounds ∆ on the measurement errors. In interval comp...
Vladik Kreinovich
IJAR
2006
197views more  IJAR 2006»
13 years 5 months ago
Rough fuzzy set based scale space transforms and their use in image analysis
In this paper we present a multi-scale method based on the hybrid notion of rough fuzzy sets, coming from the combination of two models of uncertainty like vagueness by handling r...
Alfredo Petrosino, Giuseppe Salvi
RSKT
2010
Springer
13 years 3 months ago
Ordered Weighted Average Based Fuzzy Rough Sets
Traditionally, membership to the fuzzy-rough lower, resp. upper approximation is determined by looking only at the worst, resp. best performing object. Consequently, when applied t...
Chris Cornelis, Nele Verbiest, Richard Jensen