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» Some results of fuzzy BCK-filters
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FUIN
2010
114views more  FUIN 2010»
13 years 2 months ago
Feature Selection via Maximizing Fuzzy Dependency
Feature selection is an important preprocessing step in pattern analysis and machine learning. The key issue in feature selection is to evaluate quality of candidate features. In t...
Qinghua Hu, Pengfei Zhu, Jinfu Liu, Yongbin Yang, ...
SOCO
2002
Springer
13 years 7 months ago
A dynamically-constructed fuzzy neural controller for direct model reference adaptive control of multi-input-multi-output nonlin
Conventional industrial control systems are in majority based on the single-input-single-output design principle with linearized models of the processes. However, most industrial p...
Yakov Frayman, Lipo Wang
JIFS
2007
191views more  JIFS 2007»
13 years 7 months ago
Fuzzy SWOT analysis
An increase in hazardous materials transportation in Iran along with the industrial development and increase of resulted deadly accidents necessitate the development and implementa...
S. Ghazinoory, A. Esmail Zadeh, A. Memariani
ISDA
2009
IEEE
14 years 2 months ago
Measures for Unsupervised Fuzzy-Rough Feature Selection
For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors t...
Neil MacParthalain, Richard Jensen
CEC
2009
IEEE
14 years 2 months ago
A cognitive system based on fuzzy information processing and multi-objective evolutionary algorithm
— A cognitive system is presented, which is based on coupling a multi-objective evolutionary algorithm with a fuzzy information processing system. The aim of the system is to ide...
Michael S. Bittermann, Özer Ciftcioglu, I. Se...