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FUZZIEEE
2007
IEEE
13 years 11 months ago
Learning Fuzzy Linguistic Models from Low Quality Data by Genetic Algorithms
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
Luciano Sánchez, José Otero
IJAR
2010
153views more  IJAR 2010»
13 years 3 months ago
Diagnosis of dyslexia with low quality data with genetic fuzzy systems
For diagnosing dyslexia in early childhood, children have to solve non-writing based, graphical tests. Curently, these tests are processed by a human expert; applying artificial ...
Ana M. Palacios, Luciano Sánchez, Iné...
FUZZIEEE
2007
IEEE
13 years 11 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...
SOFTCOMP
2010
13 years 3 months ago
Evaluating the Low Quality Measurements in Lighting Control Systems
In real world processes in the industry or in business, where the elements involved generate data full of noise and biases, improving the energy efficiency represents one of the ma...
José Ramón Villar, Enrique A. de la ...
HAIS
2010
Springer
13 years 6 months ago
Analysing the Low Quality of the Data in Lighting Control Systems
Energy efficiency represents one of the main challenges in the engineering field, i.e., by means of decreasing the energy consumption due to a better design minimising the energy ...
José Ramón Villar, Enrique A. de la ...