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» Rough fuzzy MLP: knowledge encoding and classification
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TNN
1998
59views more  TNN 1998»
13 years 4 months ago
Rough fuzzy MLP: knowledge encoding and classification
Mohua Banerjee, Sushmita Mitra, Sankar K. Pal
ASIAMS
2007
IEEE
13 years 11 months ago
Rough-Fuzzy Granulation, Rough Entropy and Image Segmentation
This talk has two parts explaining the significance of Rough sets in granular computing in terms of rough set rules and in uncertainty handling in terms of lower and upper approxi...
Sankar K. Pal
RSCTC
2000
Springer
143views Fuzzy Logic» more  RSCTC 2000»
13 years 8 months ago
Rough Sets for Uncertainty Reasoning
Abstract. Rough sets have traditionally been applied to decision (classification) problems. We suggest that rough sets are even better suited for reasoning. It has already been sho...
S. K. Michael Wong, Cory J. Butz
RSCTC
2000
Springer
144views Fuzzy Logic» more  RSCTC 2000»
13 years 8 months ago
Valued Tolerance and Decision Rules
In this paper we introduce the concept of valued tolerance as an extension of the usual concept of indiscernibility (which is a crisp equivalence relation) in rough sets theory. So...
Jerzy Stefanowski, Alexis Tsoukiàs
FSKD
2008
Springer
120views Fuzzy Logic» more  FSKD 2008»
13 years 6 months ago
An Unsupervised Gaussian Mixture Classification Mechanism Based on Statistical Learning Analysis
This paper presents a scheme for unsupervised classification with Gaussian mixture models by means of statistical learning analysis. A Bayesian Ying-Yang harmony learning system a...
Rui Nian, Guangrong Ji, Michel Verleysen