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GEFS 2011: Paris, France
- 5th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, GEFS 2011, Paris, France, April 15, 2011. IEEE 2011, ISBN 978-1-61284-050-5
Classification and Data Mining
- Raffaele Cannone, José Maria Alonso
, Luis Magdalena
:
Multi-objective design of highly interpretable fuzzy rule-based classifiers with semantic cointension. 1-8 - Stephen G. Matthews
, Mario Gongora
, Adrian A. Hopgood
:
Evolving temporal fuzzy itemsets from quantitative data with a multi-objective evolutionary algorithm. 9-16 - Cristóbal J. Carmona
, Pedro González
, María José del Jesus
, Francisco Herrera:
Analysis of the impact of using different diversity functions for the subgroup discovery algorithm NMEEF-SD. 17-23 - Dimitris G. Stavrakoudis
, Georgia N. Galidaki
, Ioannis Z. Gitas
, John B. Theocharis:
A Fast Iterative Rule-based Linguistic Classifier for hyperspectral remote sensing tasks. 24-30 - Hisao Ishibuchi
, Yusuke Nakashima, Yusuke Nojima
:
Double cross-validation for performance evaluation of multi-objective genetic fuzzy systems. 31-38
Regression and Control
- Michel González, Jorge Casillas, Carlos Morell
:
Dealing with three uncorrelated criteria by many-objective genetic fuzzy systems. 39-46 - Michela Antonelli
, Pietro Ducange
, Beatrice Lazzerini
, Francesco Marcelloni
:
Multi-objective evolutionary generation of Mamdani fuzzy rule-based systems based on rule and condition selection. 47-53 - Ho Pham Huy Anh:
Implementation of Fuzzy NARX IMC PID control of PAM robot arm using Modified Genetic Algorithms. 54-59 - Alberto Alvarez-Alvarez, Gracián Triviño, Oscar Cordón
:
Body posture recognition by means of a genetic fuzzy finite state machine. 60-65 - Marco Cococcioni
, Raffaele Grasso
, Michel Rixen:
A hybrid continuity preserving inference strategy to speed up Takagi-Sugeno multiobjective genetic fuzzy systems. 66-72 - María José Gacto, Rafael Alcalá
, Francisco Herrera:
Evolutionary Multi-Objective Algorithm to effectively improve the performance of the classic tuning of fuzzy logic controllers for a heating, ventilating and Air Conditioning system. 73-80
Applications
- Shinji Fukuda
, Jun Nakajima, Bernard De Baets
, Willem Waegeman, Takahiko Mukai, Ans M. Mouton, Norio Onikura:
A discussion on the accuracy-complexity relationship in modelling fish habitat preference using genetic Takagi-Sugeno fuzzy systems. 81-86 - Rocío Pérez de Prado
, Sebastián García Galán
, J. Enrique Muñoz Expósito:
KASIA approach vs. Differential Evolution in Fuzzy Rule-Based meta-schedulers for Grid computing. 87-94 - Sourour Njah
, Hala Bezine, Adel M. Alimi
:
A fuzzy genetic system for segmentation of on-line handwriting: Application to ADAB database. 95-102 - Tracy Pik Yin Mok:
Intelligent apparel production planning for optimizing manual operations using fuzzy set theory and evolutionary algorithms. 103-110 - Ismael Rodríguez-Fdez
, Manuel Mucientes
, Alberto Bugarín
:
Iterative Rule Learning of Quantified Fuzzy Rules for control in mobile robotics. 111-118

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