Fuzzy Classification System Design Using PSO with Dynamic Parameter Adaptation Through Fuzzy Logic

2014 ◽  
pp. 29-47 ◽  
Author(s):  
Frumen Olivas ◽  
Fevrier Valdez ◽  
Oscar Castillo
Keyword(s):  
Fuzzy Logic ◽  
System Design ◽  
Classification System ◽  
Dynamic Parameter ◽  
Fuzzy Classification ◽  
Parameter Adaptation ◽  
Fuzzy Classification System

Optimal design of fuzzy classification systems using PSO with dynamic parameter adaptation through fuzzy logic

2013 ◽  
Vol 40 (8) ◽  
pp. 3196-3206 ◽  
Author(s):  
Patricia Melin ◽  
Frumen Olivas ◽  
Oscar Castillo ◽  
Fevrier Valdez ◽  
Jose Soria ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Optimal Design ◽  
Dynamic Parameter ◽  
Classification Systems ◽  
Fuzzy Classification ◽  
Parameter Adaptation

scholarly journals A New Approach for Dynamic Stochastic Fractal Search with Fuzzy Logic for Parameter Adaptation

2021 ◽  
Vol 5 (2) ◽  
pp. 33
Author(s):  
Marylu L. Lagunes ◽  
Oscar Castillo ◽  
Fevrier Valdez ◽  
Jose Soria ◽  
Patricia Melin
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Inference ◽  
Dynamic Parameter ◽  
Mathematical Concept ◽  
Parameter Adaptation ◽  
Inference Models ◽  
Fractal Particles ◽  
Novel Method ◽  
Dynamic Stochastic ◽  
Stochastic Fractal Search

Stochastic fractal search (SFS) is a novel method inspired by the process of stochastic growth in nature and the use of the fractal mathematical concept. Considering the chaotic stochastic diffusion property, an improved dynamic stochastic fractal search (DSFS) optimization algorithm is presented. The DSFS algorithm was tested with benchmark functions, such as the multimodal, hybrid, and composite functions, to evaluate the performance of the algorithm with dynamic parameter adaptation with type-1 and type-2 fuzzy inference models. The main contribution of the article is the utilization of fuzzy logic in the adaptation of the diffusion parameter in a dynamic fashion. This parameter is in charge of creating new fractal particles, and the diversity and iteration are the input information used in the fuzzy system to control the values of diffusion.

Data mining with a simulated annealing based fuzzy classification system

2008 ◽  
Vol 41 (5) ◽  
pp. 1824-1833 ◽  
Author(s):  
Hamid Mohamadi ◽  
Jafar Habibi ◽  
Mohammad Saniee Abadeh ◽  
Hamid Saadi
Keyword(s):  
Data Mining ◽  
Simulated Annealing ◽  
Classification System ◽  
Fuzzy Classification ◽  
Fuzzy Classification System
Sign in / Sign up

Export Citation Format

Share Document