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GEFS 2013: Singapore
- 2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, GEFS 2013, Singapore, April 16-19, 2013. IEEE 2013, ISBN 978-1-4673-5899-6
- Yi-Ling Liu, Fernando A. C. Gomide:
Participatory genetic learning in fuzzy system modeling. 1-7 - David García, Antonio González Muñoz, Raúl Pérez:
An empirical study about the behavior of a genetic learning algorithm on searching spaces pruned by a completeness condition. 8-15 - Chun-Hao Chen, Ji-Syuan He, Tzung-Pei Hong:
A two-stage multi-objective genetic-fuzzy mining algorithm. 16-20 - Shinji Fukuda:
Effects of data prevalence on species distribution modelling using a genetic takagi-sugeno fuzzy system. 21-27 - Ana M. Palacios, Luciano Sánchez, Inés Couso:
Boosting fuzzy rules with low quality data in multi-class problems: Open problems and challenges. 28-35 - Dalai Tang, János Botzheim, Naoyuki Kubota, Toru Yamaguchi:
Estimation of human transport modes by fuzzy spiking neural network and evolution strategy in informationally structured space. 36-43 - Michela Fazzolari, Rafael Alcalá, Yusuke Nojima, Hisao Ishibuchi, Francisco Herrera:
Improving a fuzzy association rule-based classification model by granularity learning based on heuristic measures over multiple granularities. 44-51 - Tim Brys, Madalina M. Drugan, Peter A. N. Bosman, Martine De Cock, Ann Nowé:
Local search and restart strategies for satisfiability solving in fuzzy logics. 52-59 - Yusuke Nojima, Hisao Ishibuchi:
Multiobjective genetic fuzzy rule selection with fuzzy relational rules. 60-67
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