Name
Title | ||
|---|---|---|
Fuzzy Classification of Mortality by Infection of Severe Burnt Patients Using Multiobjective Evolutionary Algorithms |
Abstract | ||
|---|---|---|
The classification of survival in severe burnt patients is an on-going problem. In this paper we propose a multiobjective optimisation model with constraints to obtain fuzzy classification models based on the criteria of accuracy and interpretability. We also describe a multiobjective evolutionary approach for fuzzy classification based on data with real and discrete attributes. This approach is evaluated using three different evolutive schemas: pre-selection with niches, NSGA-II and ENORA. The results are compared as regards efficacy by statistical techniques. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-02264-7_46 | IWINAC (1) |
Keywords | Field | DocType |
multiobjective optimisation model,multiobjective evolutionary algorithms,fuzzy classification model,multiobjective evolutionary approach,severe burnt patient,fuzzy classification,severe burnt patients,statistical technique,different evolutive schema,discrete attribute,on-going problem | Interpretability,Fuzzy model,Evolutionary algorithm,Fuzzy classification,Computer science,Artificial intelligence,Machine learning,Fuzzy rule | Conference |
Volume | ISSN | Citations |
5601 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 15 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| F. Jiménez | 1 | 272 | 26.59 |
| G. Sánchez | 2 | 125 | 13.10 |
| J. M. Juárez | 3 | 3 | 1.06 |
| J. M. Alcaraz | 4 | 0 | 0.34 |
| J. F. Sánchez | 5 | 0 | 0.34 |