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EUSFLAT
2003
129views Fuzzy Logic» more  EUSFLAT 2003»
14 years 11 months ago
Application of f-regression method to fuzzy classification problem
In regression analysis, outliers always represent difficulties because they cause modeling errors. But under certain circumstances, they can actually contain useful information, as...
Boris Izyumov
ICPR
2002
IEEE
15 years 10 months ago
Building the Topological Tree by Recursive FCM Color Clustering
In this paper we define a Topological Tree (TT) as a knowledge representation method that aims to describe important visual and spatial features of image regions, namely the color...
Rita Cucchiara, Costantino Grana, Andrea Prati, St...
80
Voted
CIMCA
2008
IEEE
15 years 4 months ago
Novel Cardiac Risk Factor Stratification Using Neuro-fuzzy Tool
Heart disease continues to be leading cause of morbidity and mortality among adults all over the world. Cardiac risk factor assessment requires a classification system that is rob...
Elahe Yargholi, Saman Parvaneh
FUZZIEEE
2007
IEEE
15 years 4 months ago
Improved Adaptive Impulsive Noise Suppression
In this work an improved scheme for eliminating impulsive noise of varying strengths from corrupted images is proposed. A neural network is employed to classify the corrupted and n...
Pankaj Kumar Sa, Banshidhar Majhi, Ganapati Panda
FSKD
2007
Springer
126views Fuzzy Logic» more  FSKD 2007»
15 years 3 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