Paper Info
Title
MultiGrid-Based Fuzzy Systems for Function Approximation
Abstract
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
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
Name
Order
Citations
PageRank
Luis Javier Herrera112923.29
Héctor Pomares265164.11
I. Rojas31750143.09
Olga Valenzuela48816.33
Mohammed Awad5295.89