New Medical Diagnosis Models Based on Generalized Type-2 Fuzzy Logic

2021 ◽  
Author(s):  
Patricia Melin ◽  
Emanuel Ontiveros-Robles ◽  
Oscar Castillo
Keyword(s):  
Fuzzy Logic ◽  
Medical Diagnosis ◽  
Generalized Type

Generalized Type-2 Fuzzy Logic

2017 ◽  
pp. 3-9
Author(s):  
Claudia I. Gonzalez ◽  
Patricia Melin ◽  
Juan R. Castro ◽  
Oscar Castillo
Keyword(s):  
Fuzzy Logic ◽  
Generalized Type

An improved sobel edge detection method based on generalized type-2 fuzzy logic

2014 ◽  
Vol 20 (2) ◽  
pp. 773-784 ◽  
Author(s):  
Claudia I. Gonzalez ◽  
Patricia Melin ◽  
Juan R. Castro ◽  
Olivia Mendoza ◽  
Oscar Castillo
Keyword(s):  
Fuzzy Logic ◽  
Edge Detection ◽  
Detection Method ◽  
Sobel Edge Detection ◽  
Edge Detection Method ◽  
Generalized Type

Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic

2017 ◽  
Author(s):  
Claudia I. Gonzalez ◽  
Patricia Melin ◽  
Juan R. Castro ◽  
Oscar Castillo
Keyword(s):  
Fuzzy Logic ◽  
Edge Detection ◽  
Detection Methods ◽  
Generalized Type

Edge-Detection Method for Image Processing Based on Generalized Type-2 Fuzzy Logic

2014 ◽  
Vol 22 (6) ◽  
pp. 1515-1525 ◽  
Author(s):  
Patricia Melin ◽  
Claudia I. Gonzalez ◽  
Juan R. Castro ◽  
Olivia Mendoza ◽  
Oscar Castillo
Keyword(s):  
Image Processing ◽  
Fuzzy Logic ◽  
Edge Detection ◽  
Detection Method ◽  
Edge Detection Method ◽  
Generalized Type

Generalized type-2 fuzzy logic in galactic swarm optimization: design of an optimal ball and beam fuzzy controller

2020 ◽  
Vol 39 (3) ◽  
pp. 3545-3559
Author(s):  
Emer Bernal ◽  
Oscar Castillo ◽  
José Soria ◽  
Fevrier Valdez
Keyword(s):  
Fuzzy Logic ◽  
Optimization Design ◽  
Fuzzy Controller ◽  
Statistical Tests ◽  
Dynamic Adjustment ◽  
Swarm Optimization ◽  
Galactic Swarm Optimization ◽  
Generalized Type

In this paper we present a modification based on generalized type-2 fuzzy logic to an algorithm that is inspired on the movement of large masses of stars and their attractive force in the universe, known as galactic swarm optimization (GSO). The modification consists on the dynamic adjustment of parameters in GSO using type-1 and type-2 fuzzy logic. The main idea of the proposed approach is the application of fuzzy systems to dynamically adapt the parameters of the GSO algorithm, which is then applied to parameter optimization of the membership functions of the bar and ball fuzzy controller. The experimentation was carried out using the original GSO algorithm, and the type-1 and type-2 fuzzy variants of GSO. In addition a disturbance was added to the bar and ball fuzzy controller plant to be able to validate the effectiveness of the proposed approach in optimizing fuzzy controllers. A formal comparison of results is performed with statistical tests showing that GSO with generalized type-2 fuzzy logic is the best method for optimizing the fuzzy controller.

Sign in / Sign up

Export Citation Format

Share Document