Simultaneous Design of Membership Functions and Rule
Sets for Fuzzy Controllers Using Genetic Algorithms
A. Homaifar, and E. McCormick. IEEE Transactions on Fuzzy Systems, 3 (2):
129--139(May 1995)
Abstract
This paper examines the applicability of genetic
algorithms (GA's) in the simultaneous design of
membership functions and rule sets for fuzzy logic
controllers. Previous work using genetic algorithms has
focused on the development of rule sets or high
performance membership functions; however, the
interdependence between these two components suggests a
simultaneous design procedure would be a more
appropriate methodology. When GA's have been used to
develop both, it has been done serially, e.g., design
the membership functions and then use them in the
design of the rule set. This, however, means that the
membership functions were optimized for the initial
rule set and not the rule set designed subsequently.
GA's are fully capable of creating complete fuzzy
controllers given the equations of motion of the
system, eliminating the need for human input in the
design loop. This new method has been applied to two
problems, a cart controller and a truck controller.
Beyond the development of these controllers, we also
examine the design of a robust controller for the cart
problem and its ability to overcome faulty rules.
%0 Journal Article
%1 Homaifar1995
%A Homaifar, Abdollah
%A McCormick, Ed
%D 1995
%J IEEE Transactions on Fuzzy Systems
%K algorithms, cart control control, controller controller, controllers, design design, function functions, fuzzy genetic high-performance membership procedure, rule set simultaneous synthesis, system truck
%N 2
%P 129--139
%T Simultaneous Design of Membership Functions and Rule
Sets for Fuzzy Controllers Using Genetic Algorithms
%U http://ieeexplore.ieee.org/iel4/91/8807/00388168.pdf?isNumber=8807
%V 3
%X This paper examines the applicability of genetic
algorithms (GA's) in the simultaneous design of
membership functions and rule sets for fuzzy logic
controllers. Previous work using genetic algorithms has
focused on the development of rule sets or high
performance membership functions; however, the
interdependence between these two components suggests a
simultaneous design procedure would be a more
appropriate methodology. When GA's have been used to
develop both, it has been done serially, e.g., design
the membership functions and then use them in the
design of the rule set. This, however, means that the
membership functions were optimized for the initial
rule set and not the rule set designed subsequently.
GA's are fully capable of creating complete fuzzy
controllers given the equations of motion of the
system, eliminating the need for human input in the
design loop. This new method has been applied to two
problems, a cart controller and a truck controller.
Beyond the development of these controllers, we also
examine the design of a robust controller for the cart
problem and its ability to overcome faulty rules.
@article{Homaifar1995,
abstract = {This paper examines the applicability of genetic
algorithms (GA's) in the simultaneous design of
membership functions and rule sets for fuzzy logic
controllers. Previous work using genetic algorithms has
focused on the development of rule sets or high
performance membership functions; however, the
interdependence between these two components suggests a
simultaneous design procedure would be a more
appropriate methodology. When GA's have been used to
develop both, it has been done serially, e.g., design
the membership functions and then use them in the
design of the rule set. This, however, means that the
membership functions were optimized for the initial
rule set and not the rule set designed subsequently.
GA's are fully capable of creating complete fuzzy
controllers given the equations of motion of the
system, eliminating the need for human input in the
design loop. This new method has been applied to two
problems, a cart controller and a truck controller.
Beyond the development of these controllers, we also
examine the design of a robust controller for the cart
problem and its ability to overcome faulty rules.},
added-at = {2008-06-19T17:35:00.000+0200},
author = {Homaifar, Abdollah and McCormick, Ed},
biburl = {https://www.bibsonomy.org/bibtex/2e41b9c35f5e8e3535620a3a7bb945234/brazovayeye},
interhash = {2f56dbff34e1cae58337389c6f3ce178},
intrahash = {e41b9c35f5e8e3535620a3a7bb945234},
issn = {1063-6706},
journal = {IEEE Transactions on Fuzzy Systems},
keywords = {algorithms, cart control control, controller controller, controllers, design design, function functions, fuzzy genetic high-performance membership procedure, rule set simultaneous synthesis, system truck},
month = May,
number = 2,
pages = {129--139},
size = {11 pages},
timestamp = {2008-06-19T17:41:38.000+0200},
title = {Simultaneous Design of Membership Functions and Rule
Sets for Fuzzy Controllers Using Genetic Algorithms},
url = {http://ieeexplore.ieee.org/iel4/91/8807/00388168.pdf?isNumber=8807},
volume = 3,
year = 1995
}