Paper Info
Title
Parameter Optimization for Membership Functions of Type-2 Fuzzy Controllers for Autonomous Mobile Robots Using the Firefly Algorithm.
Abstract
This paper describes the comparison of dynamic adjustment parameters in the firefly algorithm using type-1 and type-2 fuzzy logic for the optimization of a fuzzy controller. The adjustment is performed to improve the behavior of the method. Fuzzy systems use fuzzy sets by defining membership functions, which indicate how much an element belongs to the fuzzy set. Type-2 fuzzy logic assigns degrees of belonging that are fuzzy and this can be viewed as an extension of type-1 fuzzy logic. The Firefly algorithm has 3 main parameters Beta, Gamma and Alpha with a range of 0 to 1 each, which need to the dynamically adjusted to improve the performance of the algorithm.
Year
DOI
Venue
2018
10.1007/978-3-319-95312-0_50
Communications in Computer and Information Science
Keywords
Field
DocType
Type-1 fuzzy logic,Type-2 fuzzy logic,Fuzzy logic,Firefly algorithm,Dynamic adjustment
Control theory,Computer science,Fuzzy logic,Firefly algorithm,Fuzzy set,Artificial intelligence,Fuzzy control system,Mobile robot,Machine learning
Conference
Volume
ISSN
Citations 
831
1865-0929
0
PageRank 
References 
Authors
0.34
6
5
Name
Order
Citations
PageRank
Marylu L. Lagunes1112.49
Oscar Castillo25289452.83
Fevrier Valdez395257.96
Jose Soria41397.21
Patricia Melin54009259.43