 | 2012 |
| 20 |  | Michela Antonelli,
Pietro Ducange,
Francesco Marcelloni:
Genetic Training Instance Selection in Multiobjective Evolutionary Fuzzy Systems: A Coevolutionary Approach.
IEEE T. Fuzzy Systems 20(2): 276-290 (2012) |
| 2011 |
| 19 |  | Michela Antonelli,
Pietro Ducange,
Francesco Marcelloni:
A new approach to handle high dimensional and large datasets in multi-objective evolutionary fuzzy systems.
FUZZ-IEEE 2011: 1286-1293 |
| 18 |  | Pietro Ducange,
Francesco Marcelloni:
Multi-objective Evolutionary Fuzzy Systems.
WILF 2011: 83-90 |
| 17 |  | Michela Antonelli,
Pietro Ducange,
Beatrice Lazzerini,
Francesco Marcelloni:
Learning concurrently data and rule bases of Mamdani fuzzy rule-based systems by exploiting a novel interpretability index.
Soft Comput. 15(10): 1981-1998 (2011) |
| 16 |  | Michela Antonelli,
Pietro Ducange,
Beatrice Lazzerini,
Francesco Marcelloni:
Learning knowledge bases of multi-objective evolutionary fuzzy systems by simultaneously optimizing accuracy, complexity and partition integrity.
Soft Comput. 15(12): 2335-2354 (2011) |
| 2010 |
| 15 |  | Michela Antonelli,
Pietro Ducange,
Francesco Marcelloni:
Exploiting a coevolutionary approach to concurrently select training instances and learn rule bases of Mamdani fuzzy systems.
FUZZ-IEEE 2010: 1-7 |
| 14 |  | Michela Antonelli,
Pietro Ducange,
Beatrice Lazzerini,
Francesco Marcelloni:
Exploiting a three-objective evolutionary algorithm for generating Mamdani fuzzy rule-based systems.
FUZZ-IEEE 2010: 1-8 |
| 13 |  | Pietro Ducange,
Beatrice Lazzerini,
Francesco Marcelloni:
Multi-objective genetic fuzzy classifiers for imbalanced and cost-sensitive datasets.
Soft Comput. 14(7): 713-728 (2010) |
| 2009 |
| 12 |  | Michela Antonelli,
Pietro Ducange,
Beatrice Lazzerini,
Francesco Marcelloni:
A Three-Objective Evolutionary Approach to Generate Mamdani Fuzzy Rule-Based Systems.
HAIS 2009: 613-620 |
| 11 |  | Michela Antonelli,
Pietro Ducange,
Beatrice Lazzerini,
Francesco Marcelloni:
Learning Concurrently Granularity, Membership Function Parameters and Rules of Mamdani Fuzzy Rule-based Systems.
IFSA/EUSFLAT Conf. 2009: 1033-1038 |
| 10 |  | Michela Antonelli,
Pietro Ducange,
Beatrice Lazzerini,
Francesco Marcelloni:
Exploiting a New Interpretability Index in the Multi-Objective Evolutionary Learning of Mamdani Fuzzy Rule-Based Systems.
ISDA 2009: 115-120 |
| 9 |  | Michela Antonelli,
Pietro Ducange,
Beatrice Lazzerini,
Francesco Marcelloni:
Multi-objective evolutionary learning of granularity, membership function parameters and rules of Mamdani fuzzy systems.
Evolutionary Intelligence 2(1-2): 21-37 (2009) |
| 8 |  | Rafael Alcalá,
Pietro Ducange,
Francisco Herrera,
Beatrice Lazzerini,
Francesco Marcelloni:
A Multiobjective Evolutionary Approach to Concurrently Learn Rule and Data Bases of Linguistic Fuzzy-Rule-Based Systems.
IEEE T. Fuzzy Systems 17(5): 1106-1122 (2009) |
| 7 |  | 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) |
| 6 |  | Francesco Marcelloni,
Germano Resconi,
Pietro Ducange:
Morphogenetic approach to system identification.
Int. J. Intell. Syst. 24(9): 955-975 (2009) |
| 2008 |
| 5 |  | 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 |
| 4 |  | Michela Antonelli,
Pietro Ducange,
Beatrice Lazzerini,
Francesco Marcelloni:
A Multi-Objective Genetic Approach to Concurrently Learn Partition Granularity and Rule Bases of Mamdani Fuzzy Systems.
HIS 2008: 278-283 |
| 2007 |
| 3 |  | 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 |  | 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 |  | 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) |