A New Method for Generating of Fuzzy Rules for the Nonlinear Modelling Based on Semantic Genetic Programming

2016 ◽  
pp. 262-278 ◽  
Author(s):  
Łukasz Bartczuk ◽  
Krystian Łapa ◽  
Petia Koprinkova-Hristova
Keyword(s):  
Genetic Programming ◽  
Fuzzy Rules ◽  
New Method ◽  
Nonlinear Modelling

A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects

2014 ◽  
Vol 135 ◽  
pp. 203-217 ◽  
Author(s):  
K. Cpałka ◽  
K. Łapa ◽  
A. Przybył ◽  
M. Zalasiński
Keyword(s):  
Fuzzy Systems ◽  
New Method ◽  
Nonlinear Modelling ◽  
Neuro Fuzzy

scholarly journals Using Fuzzy Logic in Robot Navigation to Find Animals

2014 ◽  
Vol 12 (4) ◽  
pp. 3382-3392 ◽  
Author(s):  
Mahdi Amiri ◽  
Zeinab Abbasi ◽  
Fakhte Soltani Tafreshi
Keyword(s):  
Fuzzy Logic ◽  
Endangered Species ◽  
Autonomous Robots ◽  
Robot Navigation ◽  
Fuzzy Rule ◽  
Fuzzy Rules ◽  
New Method ◽  
Matlab Software ◽  
Rule Based ◽  
Rule Based Systems

 Fuzzy logic is a tool to use human expertise. The simplicity of fuzzy-rule based systems and its power to perform various tasks without accurate measurement and computation makes it very popular between sciences. One of these applications is using fuzzy logic in designing the controller for navigation of autonomous robots to move in various environments. This paper proposes a new method of robot navigation based on fuzzy logic. This method can be drawn upon to design robots which can find and catch different kind of animals, especially endangered species. It works based on a hierarchical set of behavior each of which acts by using a set of fuzzy rules. The proposed method is simulated and tested by MATLAB software.

Sign in / Sign up

Export Citation Format

Share Document