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88
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GRC
2008
IEEE
15 years 22 days ago
Fuzzy Entropy based Max-Relevancy and Min-Redundancy Feature Selection
Feature selection is an important problem for pattern classification systems. Mutual information is a good indicator of relevance between variables, and has been used as a measure...
Shuang An, Qinghua Hu, Daren Yu
JIFS
2008
155views more  JIFS 2008»
14 years 11 months ago
Improving supervised learning performance by using fuzzy clustering method to select training data
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey G...
107
Voted
FUZZIEEE
2007
IEEE
15 years 6 months ago
Genetic Learning of Membership Functions for Mining Fuzzy Association Rules
— Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction da...
Rafael Alcalá, Jesús Alcalá-F...
125
Voted
KESAMSTA
2007
Springer
15 years 5 months ago
Ontology Agent Based Rule Base Fuzzy Cognitive Maps
This work proposes a framework for the design and development of Ontology Agents oriented to manage Rule Base Fuzzy Cognitive Maps (RBFCM). The approach takes into account the foun...
Alejandro Peña Ayala, Humberto Sossa, Franc...
EH
2003
IEEE
247views Hardware» more  EH 2003»
15 years 5 months ago
Evolvable Building Blocks for Analog Fuzzy Logic Controllers
This work discusses the use of an Evolvable Hardware (EHW) platform in the synthesis of analog electronic circuits for Fuzzy Logic Controllers. A Fuzzy Logic Controller (FLC) is d...
Jorge Luís Machado do Amaral, José F...