Have a personal or library account? Click to login
Particle Swarm Optimization for Solving a Class of Type-1 and Type-2 Fuzzy Nonlinear Equations Cover

Particle Swarm Optimization for Solving a Class of Type-1 and Type-2 Fuzzy Nonlinear Equations

Journal of Artificial Intelligence and Soft Computing Research
Volume 8 (2018): Issue 2 (April 2018)
By: Sheriff Sadiqbatcha,  Saeed Jafarzadeh and  Yiannis Ampatzidis  
Open Access
|Nov 2017

Authors

Sheriff Sadiqbatcha

Dept. of Computer and Electrical Engineering, California State University, Bakersfield, United States of America

Saeed Jafarzadeh

Dept. of Computer and Electrical Engineering, California State University, Bakersfield, United States of America

Yiannis Ampatzidis

Dept. of Physics and Engineering, California State University, Bakersfield, United States of America
DOI: https://doi.org/10.1515/jaiscr-2018-0007
Journal RSS Feed
Language: English
Page range: 103 - 110
Submitted on: Jan 30, 2017
Accepted on: Mar 31, 2017
Published on: Nov 1, 2017
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
type1 and type2 fuzzy sets,
polynomial and exponential equations,
particle swarm optimization
Related subjects:
Computer sciences,
Databases and data mining,
Artificial intelligence

© 2017 Sheriff Sadiqbatcha, Saeed Jafarzadeh, Yiannis Ampatzidis, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Previous articleVolume 8 (2018): Issue 2 (April 2018)Next article