| * | 2009 |
|---|
| 6 | EE | Michela Antonelli,
Pietro Ducange,
Beatrice Lazzerini,
Francesco Marcelloni:
A Three-Objective Evolutionary Approach to Generate Mamdani Fuzzy Rule-Based Systems.
HAIS 2009: 613-620 |
| 5 | EE | Michela Antonelli,
Pietro Ducange,
Beatrice Lazzerini,
Francesco Marcelloni:
Learning concurrently partition granularities and rule bases of Mamdani fuzzy systems in a multi-objective evolutionary framework.
Int. J. Approx. Reasoning 50(7): 1066-1080 (2009) |
| 2008 |
|---|
| 4 | EE | Pietro Ducange,
Rafael Alcalá,
Francisco Herrera,
Beatrice Lazzerini,
Francesco Marcelloni:
Knowledge Base Learning of Linguistic Fuzzy Rule-Based Systems in a Multi-objective Evolutionary Framework.
HAIS 2008: 747-754 |
| 2007 |
|---|
| 3 | EE | Marco Cococcioni,
Pietro Ducange,
Beatrice Lazzerini,
Francesco Marcelloni:
Evolutionary Multi-Objective Optimization of Fuzzy Rule-Based Classifiers in the ROC Space.
FUZZ-IEEE 2007: 1-6 |
| 2 | EE | Marco Cococcioni,
Pietro Ducange,
Beatrice Lazzerini,
Francesco Marcelloni:
A new multi-objective evolutionary algorithm based on convex hull for binary classifier optimization.
IEEE Congress on Evolutionary Computation 2007: 3150-3156 |
| 1 | EE | Marco Cococcioni,
Pietro Ducange,
Beatrice Lazzerini,
Francesco Marcelloni:
A Pareto-based multi-objective evolutionary approach to the identification of Mamdani fuzzy systems.
Soft Comput. 11(11): 1013-1031 (2007) |
