Paper Info

Title | ||
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MultiGrid-Based Fuzzy Systems for Function Approximation |

Abstract | ||
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In this paper we make use of a modified Grid Based Fuzzy System architecture, which may provide an exponential reduction in the number of rules needed. We also introduce an algorithm that automatically, from a set of given I/O training points, is able to determine the pseudo-optimal architecture proposed as well as the optimal parameters needed (number and position of membership functions and fuzzy rule consequents). The suitability of the algorithm and the improvement in both performance and efficiency obtained are shown in an example. |

Year | DOI | Venue |
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2004 | 10.1007/978-3-540-24694-7_26 | Lecture Notes in Computer Science |

Keywords | Field | DocType |

membership function,function approximation,fuzzy system | Fuzzy classification,Defuzzification,Fuzzy set operations,Computer science,Fuzzy mathematics,Algorithm,Type-2 fuzzy sets and systems,Fuzzy number,Membership function,Fuzzy rule | Conference |

Volume | ISSN | Citations |

2972 | 0302-9743 | 6 |

PageRank | References | Authors |

0.54 | 7 | 5 |

Authors (5 rows)

Cited by (6 rows)

References (7 rows)

Name | Order | Citations | PageRank |
---|---|---|---|

Luis Javier Herrera | 1 | 129 | 23.29 |

Héctor Pomares | 2 | 651 | 64.11 |

I. Rojas | 3 | 1750 | 143.09 |

Olga Valenzuela | 4 | 88 | 16.33 |

Mohammed Awad | 5 | 29 | 5.89 |