


default search action
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

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.


Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID














