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RSKT
2010
Springer
13 years 4 months ago
Naive Bayesian Rough Sets
A naive Bayesian classifier is a probabilistic classifier based on Bayesian decision theory with naive independence assumptions, which is often used for ranking or constructing a...
Yiyu Yao, Bing Zhou
IWANN
2011
Springer
12 years 9 months ago
A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorith
In recent years, the increasing interest in fuzzy rough set theory has allowed the definition of novel accurate methods for feature selection. Although their stand-alone applicati...
Joaquín Derrac, Chris Cornelis, Salvador Ga...
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...
FUIN
2006
160views more  FUIN 2006»
13 years 6 months ago
Behavioral Pattern Identification Through Rough Set Modeling
This paper introduces an approach to behavioral pattern identification as a part of a study of temporal patterns in complex dynamical systems. Rough set theory introduced by Zdzisl...
Jan G. Bazan
IEEEICCI
2006
IEEE
14 years 5 days ago
Rough Set Method Based on Multi-Granulations
The original rough set model is concerned primarily with the approximation of sets described by single binary relation on universe. In the view of granular computing, classical ro...
Y. H. Qian, J. Y. Liang