Name
Abstract | ||
|---|---|---|
This paper presents a new tool, called Xfhl, for the automatic generation of hierarchical fuzzy systems. The tool takes a training dataset as input and finds the best hierarchical decomposition in terms of fuzzy modules with two inputs and one output. The behavior of Xfhl is based on an exhaustive search among all possible module decompositions. In order to evaluate each structure, Xfhl uses the mean square error on the structure after a process of parametric optimization. The tool is integrated into Xfuzzy 3, a development environment for fuzzy systems. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/FUZZY.2010.5584202 | Fuzzy Systems |
Keywords | Field | DocType |
fuzzy systems,hierarchical systems,mean square error methods,optimisation,Xfhl tool,Xfuzzy 3 tool,fuzzy module,hierarchical decomposition,hierarchical fuzzy system,mean square error,module decomposition,parametric optimization,training dataset | Fuzzy electronics,Data mining,Defuzzification,Fuzzy classification,Brute-force search,Computer science,Fuzzy set operations,Fuzzy logic,Artificial intelligence,Fuzzy control system,Fuzzy number,Machine learning | Conference |
ISSN | ISBN | Citations |
1098-7584 | 978-1-4244-6919-2 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sergio Cala | 1 | 0 | 0.34 |
| Francisco Jose Moreno-Velo | 2 | 34 | 4.98 |
| Moreno-Velo, F.J. | 3 | 36 | 2.91 |