Name
Title | ||
|---|---|---|
On Designing Fuzzy Rule-Based Multiclassification Systems By Combining Furia With Bagging And Feature Selection |
Abstract | ||
|---|---|---|
In this work, we conduct a study considering a fuzzy rule-based multiclassification system design framework based on Fuzzy Unordered Rule Induction Algorithm (FURIA). This advanced method serves as the fuzzy classification rule learning algorithm to derive the component classifiers considering bagging and feature selection. We develop an exhaustive study on the potential of bagging and features election to design a final FURIA-based fuzzy multiclassifier dealing with high dimensional data. Several parameter settings for the global approach a retested when applied to twenty one popular UCI datasets. The results obtained show that FURIA-based fuzzy multiclassifiers out perform the single FURIA classifier and are competitive with C4.5 multiclassifiers and random forests. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1142/S0218488511007155 | INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS |
Keywords | Field | DocType |
Multiclassification systems classifier ensembles, fuzzy rule-based classification systems, fuzzy rule-based multiclassification systems, FURIA, bagging, feature selection, MIFS | Clustering high-dimensional data,Fuzzy classification,Feature selection,Fuzzy logic,Rule induction,Artificial intelligence,Classifier (linguistics),Random forest,Mathematics,Machine learning,Fuzzy rule | Journal |
Volume | Issue | ISSN |
19 | 4 | 0218-4885 |
Citations | PageRank | References |
15 | 0.55 | 35 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Krzysztof Trawiński | 1 | 247 | 16.06 |
| Oscar Cordón | 2 | 1572 | 100.75 |
| Arnaud Quirin | 3 | 168 | 13.68 |