J. R. Castro

发表

Knowing Software Engineer's Personality to Improve Software Development

Juan R. Castro, Antonio Rodríguez Díaz, Guillermo Licea Sandoval, 2011, ICSOFT.

A hybrid learning algorithm for Interval Type-2 Fuzzy Neural Networks in time series prediction for the case of air pollution

P. Melin, O. Castillo, A. Rodriguez-Diaz, 2008, NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society.

Fuzzy higher type information granules from an uncertainty measurement

Mauricio A. Sanchez, O. Mendoza, P. Melin, 2017, GRC 2017.

Simulating Complex Social Systems for Poverty Studies using Distributed Agencies and Fuzzy Logic

Bogart Yail Márquez, J. R. Castro, M. Castañón-Puga, 2011 .

Methodology for the Modeling of Complex Social System Using Neuro-Fuzzy and Distributed Agencies

Bogart Yail Márquez, J. R. Castro, M. Castañón-Puga, 2022 .

Interval type-2 fuzzy logic for image edge detection quality evaluation

O. Mendoza, P. Melin, J. R. Castro, 2012, 2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS).

Method for Uncertainty Measurement and Its Application to the Formation of Interval Type-2 Fuzzy Sets

Oscar Castillo, Juan R. Castro, Mauricio A. Sanchez, 2015, IWIFSGN@FQAS.

Towards a Fuzzy Model for RAMSET: Role Assignment Methodology for Software Engineering Teams

Juan R. Castro, Antonio Rodríguez Díaz, Guillermo Licea Sandoval, 2011, Soft Computing for Intelligent Control and Mobile Robotics.

Computational intelligence software for interval type‐2 fuzzy logic

Oscar Castillo, Patricia Melin, Juan R. Castro, 2013, Comput. Appl. Eng. Educ..

Type-2 Fuzzy Inference System Visual Components for Building Java Intelligent Applications

Manuel Castañón-Puga, Carelia Gaxiola-Pacheco, Luis Enrique Palafox-Maestre, 2014 .

Fuzzy granular gravitational clustering algorithm

O. Castillo, J. R. Castro, A. Rodriguez-Diaz, 2012, 2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS).

Fuzzy Dynamic Parameter Adaptation in the Harmony Search Algorithm for the Optimization of the Ball and Beam Controller

Oscar Castillo, Fevrier Valdez, Juan R. Castro, 2018, Adv. Oper. Res..

Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic

Claudia I. González, P. Melin, O. Castillo, 2017 .

Fuzzy operators for quality evaluation in images edge detection

Juan R. Castro, Olivia Mendoza, Patricia Melin, 2013, 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS).

Type-2 Fuzzy Grammar in Language Evolution

Juan R. Castro, Antonio Rodríguez Díaz, Oscar Castillo, 2013, Recent Advances on Hybrid Intelligent Systems.

Non-singleton Interval Type-2 Fuzzy Systems as Integration Methods in Modular Neural Networks Used Genetic Algorithms to Design

Patricia Melin, Juan R. Castro, Denisse Hidalgo, 2017, Nature-Inspired Design of Hybrid Intelligent Systems.

Method for Measurement of Uncertainty Applied to the Formation of Interval Type-2 Fuzzy Sets

Oscar Castillo, Juan R. Castro, Mauricio A. Sanchez, 2015, Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization.

Prediction of metal ion rejection in electro-cross-flow ultrafiltration using an artificial neural network

J. R. Castro, F. Wakida, S. Lin, 2011 .

Towards a Data Mining Class Library for Building Decision Making Applications

J. Maldonado, J. R. Castro, M. Castañón-Puga, 2016 .

Knowledge transfer for labeling unknown fuzzy sets using Grammar-Guided Genetic Algorithms

Mauricio A. Sanchez, G. Sandoval, J. R. Castro, 2022, Appl. Soft Comput..

A methodology for building interval type‐3 fuzzy systems based on the principle of justifiable granularity

P. Melin, O. Castillo, J. R. Castro, 2022, Int. J. Intell. Syst..

Interval type-3 fuzzy fractal approach in sound speaker quality control evaluation

P. Melin, O. Castillo, J. R. Castro, 2022, Eng. Appl. Artif. Intell..

Interval Type-3 Fuzzy Control for Automated Tuning of Image Quality in Televisions

P. Melin, O. Castillo, J. R. Castro, 2022, Axioms.

Interval type-3 fuzzy aggregators for ensembles of neural networks in COVID-19 time series prediction

P. Melin, O. Castillo, J. R. Castro, 2022, Eng. Appl. Artif. Intell..

Interval Type-3 Fuzzy Aggregation of Neural Networks for Multiple Time Series Prediction: The Case of Financial Forecasting

P. Melin, O. Castillo, J. R. Castro, 2022, Axioms.

Interval Type-3 Fuzzy Adaptation of the Bee Colony Optimization Algorithm for Optimal Fuzzy Control of an Autonomous Mobile Robot

P. Melin, O. Castillo, J. R. Castro, 2022, Micromachines.

Forecasting the COVID-19 with Interval Type-3 Fuzzy Logic and the Fractal Dimension

P. Melin, O. Castillo, J. R. Castro, 2022, International Journal of Fuzzy Systems.

Design of Type-3 Fuzzy Systems and Ensemble Neural Networks for COVID-19 Time Series Prediction Using a Firefly Algorithm

P. Melin, O. Castillo, J. R. Castro, 2022, Axioms.

Application of interval type-2 fuzzy neural networks in non-linear identification and time series prediction

P. Melin, O. Castillo, J. R. Castro, 2013, Soft Computing.

Type-2 Fuzzy Granular Models

Mauricio A. Sanchez, O. Castillo, J. R. Castro, 2016 .

Application of interval type-2 fuzzy neural networks in non-linear identification and time series prediction

Oscar Castillo, Patricia Melin, Juan R. Castro, 2014, Soft Comput..

A class of interval type-2 fuzzy neural networks illustrated with application to non-linear identification

Oscar Castillo, Juan R. Castro, O. Castillo, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Design of an interval Type-2 fuzzy model with justifiable uncertainty

Oscar Castillo, Juan R. Castro, Olivia Mendoza, 2020, Inf. Sci..

Optimization of interval type-2 fuzzy systems for image edge detection

Oscar Castillo, Patricia Melin, Claudia I. González, 2016, Appl. Soft Comput..

Color Image Edge Detection Method Based on Interval Type-2 Fuzzy Systems

Oscar Castillo, Patricia Melin, Claudia I. González, 2015, Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization.

JT2FISA Java Type-2 Fuzzy Inference Systems Class Library for Building Object-Oriented Intelligent Applications

Manuel Castañón-Puga, Juan R. Castro, Carelia Gaxiola-Pacheco, 2013, MICAI.

Type-2 Fuzzy Logic Grammars in Language Evolution

Juan R. Castro, Antonio Rodríguez Díaz, Oscar Castillo, 2013, Soft Computing Applications in Optimization, Control, and Recognition.

JT2FIS: Java Type-2 Fuzzy Inference System - An Object-oriented Class Library for Building Java Intelligent Applications

Manuel Castañón-Puga, Juan R. Castro, Miguel Flores-Parra, 2013, ICEIS.

Type-2 fuzzy load regulation of a servomechanism with backlash using only motor position measurements

Oscar Castillo, Juan R. Castro, Nohé R. Cázarez-Castro, 2010, International Conference on Fuzzy Systems.

A hybrid learning algorithm for a class of interval type-2 fuzzy neural networks

Oscar Castillo, Patricia Melin, Juan R. Castro, 2009, Inf. Sci..

A Hybrid Learning Algorithm for Interval Type-2 Fuzzy Neural Networks: The Case of Time Series Prediction

Oscar Castillo, Patricia Melin, Juan R. Castro, 2008, Soft Computing for Hybrid Intelligent Systems.

Generalized Type-2 Fuzzy Systems for controlling a mobile robot and a performance comparison with Interval Type-2 and Type-1 Fuzzy Systems

Oscar Castillo, Juan R. Castro, Mauricio A. Sanchez, 2015, Expert Syst. Appl..

Advances in Granular Computing

Oscar Castillo, Mauricio A. Sanchez, Juan R. Castro, 2017 .

Method for Higher Order polynomial Sugeno Fuzzy Inference Systems

Oscar Castillo, Patricia Melin, Juan R. Castro, 2016, Inf. Sci..

A T-S Fuzzy Logic Controller for biped robot walking based on adaptive network fuzzy inference system

Juan R. Castro, Luis T. Aguilar, Selene L. Cardenas-Maciel, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Intelligent control using an Interval Type-2 Fuzzy Neural Network with a hybrid learning algorithm

Juan R. Castro, Oscar Castillo, Patricia Melin, 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

Hybrid Learning Algorithm for Interval Type-2 Fuzzy Neural Networks

Oscar Castillo, Patricia Melin, Juan R. Castro, 2007, 2007 IEEE International Conference on Granular Computing (GRC 2007).

An Interval Type-2 Fuzzy Logic Toolbox for Control Applications

Oscar Castillo, Patricia Melin, Juan R. Castro, 2007, 2007 IEEE International Fuzzy Systems Conference.

Interval Type-2 Fuzzy Logic Toolbox

Oscar Castillo, Juan R. Castro, Luis G. Martínez, 2007, Eng. Lett..

Towards an intelligent decision-making support in health information systems: Lightweight hybrid data mining class library for object-oriented applications

Manuel Castanon-Puga, Juan Ramon Castro, Jose A. Maldonado, 2016, 2016 SAI Computing Conference (SAI).

PSO with Dynamic Adaptation of Parameters for Optimization in Neural Networks with Interval Type-2 Fuzzy Numbers Weights

Juan R. Castro, Fernando Gaxiola, Fevrier Valdez, 2019, Axioms.

Comparison of T-Norms and S-Norms for Interval Type-2 Fuzzy Numbers in Weight Adjustment for Neural Networks

Oscar Castillo, Patricia Melin, Fevrier Valdez, 2017, Inf..

A comparative study of type-1 fuzzy logic systems, interval type-2 fuzzy logic systems and generalized type-2 fuzzy logic systems in control problems

Juan R. Castro, Leticia Amador-Angulo, Mario García Valdez, 2016, Inf. Sci..

Optimization of type-2 fuzzy weights in backpropagation learning for neural networks using GAs and PSO

Oscar Castillo, Patricia Melin, Fevrier Valdez, 2016, Appl. Soft Comput..

Information granule formation via the concept of uncertainty-based information with Interval Type-2 Fuzzy Sets representation and Takagi-Sugeno-Kang consequents optimized with Cuckoo search

Oscar Castillo, Juan R. Castro, Mauricio A. Sanchez, 2015, Appl. Soft Comput..

Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks in Nonlinear Identification

Oscar Castillo, Patricia Melin, Juan R. Castro, 2013, Adv. Fuzzy Syst..

Building Fuzzy Inference Systems with a New Interval Type-2 Fuzzy Logic Toolbox

Oscar Castillo, Patricia Melin, Juan R. Castro, 2007, Trans. Comput. Sci..

Simulation of language evolution using Fuzzy Grammars

Oscar Castillo, Juan Paulo Alvarado-Magana, Antonio Rodriguez-Diaz, 2012, 2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS).

Fuzzy Sets in Dynamic Adaptation of Parameters of a Bee Colony Optimization for Controlling the Trajectory of an Autonomous Mobile Robot

Oscar Castillo, Patricia Melin, Juan R. Castro, 2016, Sensors.

Fuzzy granular gravitational clustering algorithm for multivariate data

Oscar Castillo, Patricia Melin, Juan R. Castro, 2014, Inf. Sci..

Cuckoo search algorithm for the optimization of type-2 fuzzy image edge detection systems

Oscar Castillo, Patricia Melin, Claudia I. González, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

An approach for parameterized shadowed type-2 fuzzy membership functions applied in control applications

Claudia I. González, Juan R. Castro, Oscar Castillo, 2018, Soft Comput..

Fuzzy Index to Evaluate Edge Detection in Digital Images

Patricia Melin, Olivia Mendoza, Antonio Rodriguez-Diaz, 2015, PloS one.

A New Approach for Interval Type-3 Fuzzy Control of Nonlinear Plants

P. Melin, O. Castillo, J. R. Castro, 2023, International Journal of Fuzzy Systems.

Using MatLab's fuzzy logic toolbox to create an application for RAMSET in software engineering courses

Oscar Castillo, Juan R. Castro, Antonio Rodríguez Díaz, 2013, Comput. Appl. Eng. Educ..

An Interval Type-2 Fuzzy Neural Network for Chaotic Time Series Prediction with Cross-Validation and Akaike Test

Oscar Castillo, Patricia Melin, Juan R. Castro, 2011, Soft Computing for Intelligent Control and Mobile Robotics.

Data Mining for extraction of fuzzy IF-THEN rules using Mamdani and Takagi-Sugeno-Kang FIS

Oscar Castillo, Patricia Melin, Juan R. Castro, 2007, Eng. Lett..

Comparing regression using artificial neural nets and intelligent hybrid method to achieve the higher learning preferences of students

Manuel Castañón-Puga, Juan R. Castro, José Sergio Magdaleno-Palencia, 2014, 2014 International Conference on Education Technologies and Computers (ICETC).

Interval Type-3 Fuzzy Systems: Theory and Design

P. Melin, O. Castillo, J. R. Castro, 2022, Studies in Fuzziness and Soft Computing.

Assessment of Uncertainty in the Projective Tree Test Using an ANFIS Learning Approach

Juan R. Castro, Antonio Rodríguez Díaz, Guillermo Licea Sandoval, 2011, MICAI.

Hybrid Learning for General Type-2 TSK Fuzzy Logic Systems

Juan R. Castro, Mauricio A. Sanchez, Leticia Cervantes, 2017, Algorithms.

An Analysis on the Intrinsic Implementation of the Principle of Justifiable Granularity in Clustering Algorithms

Oscar Castillo, Juan R. Castro, Mauricio A. Sanchez, 2013, Recent Advances on Hybrid Intelligent Systems.

An Analysis of the Relationship between the Size of the Clusters and the Principle of Justifiable Granularity in Clustering Algorithms

Oscar Castillo, Juan R. Castro, Mauricio A. Sanchez, 2013, Soft Computing Applications in Optimization, Control, and Recognition.

Ensemble Neural Network with Type-2 Fuzzy Weights Using Response Integration for Time Series Prediction

Patricia Melin, Fevrier Valdez, Juan R. Castro, 2016, WCSC.

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

Oscar Castillo, Patricia Melin, Claudia I. González, 2014, Soft Computing.

Interval Type-3 Fuzzy Differential Evolution for Parameterization of Fuzzy Controllers

P. Melin, O. Castillo, J. R. Castro, 2023, International Journal of Fuzzy Systems.

A generalized type-2 fuzzy granular approach with applications to aerospace

Oscar Castillo, Juan R. Castro, Mauricio A. Sanchez, 2016, Inf. Sci..

An approach on the implementation of full batch, online and mini-batch learning on a Mamdani based neuro-fuzzy system with center-of-sets defuzzification: Analysis and evaluation about its functionality, performance, and behavior

Mauricio A Sanchez, Olivia Mendoza, Mauricio A. Sanchez, 2019, PloS one.

Big Data and Computational Intelligence: Background, Trends, Challenges, and Opportunities

Mauricio A. Sanchez, Juan R. Castro, Sukey Nakasima-López, 2018 .

On the modeling of a sustainable system for urban development simulation using data mining and distributed agencies

Bogart Yail Márquez, Juan R. Castro, Manuel Castanon-Puga, 2010, The 2nd International Conference on Software Engineering and Data Mining.

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

Oscar Castillo, Patricia Melin, Claudia I. González, 2014, IEEE Transactions on Fuzzy Systems.

Choquet Integral and Interval Type-2 Fuzzy Choquet Integral for Edge Detection

Oscar Castillo, Patricia Melin, Juan R. Castro, 2017, Nature-Inspired Design of Hybrid Intelligent Systems.

General Type-2 Fuzzy Edge Detection in the Preprocessing of a Face Recognition System

Oscar Castillo, Patricia Melin, Claudia I. González, 2017, Nature-Inspired Design of Hybrid Intelligent Systems.

Optimization by Cuckoo Search of Interval Type-2 Fuzzy Logic Systems for Edge Detection

Oscar Castillo, Patricia Melin, Claudia I. González, 2014, WCSC.

Interpretable Mamdani neuro-fuzzy model through context awareness and linguistic adaptation

Mauricio A. Sanchez, O. Mendoza, G. Sandoval, 2021, Expert Syst. Appl..

A Type-3 Fuzzy Parameter Adjustment in Harmony Search for the Parameterization of Fuzzy Controllers

J. Yoon, Z. Geem, P. Melin, 2023, International Journal of Fuzzy Systems.

Towards a Personality Fuzzy Model Based on Big Five Patterns for Engineers Using an ANFIS Learning Approach

Juan R. Castro, Antonio Rodríguez Díaz, Guillermo Licea Sandoval, 2012, MICAI.

Optimization with genetic algorithm and particle swarm optimization of type-2 fuzzy integrator for ensemble neural network in time series

Patricia Melin, Fevrier Valdez, Juan R. Castro, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

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

Claudia I. González, O. Mendoza, P. Melin, 2014, Soft Computing - A Fusion of Foundations, Methodologies and Applications.

A new approach based on generalized type-2 fuzzy logic for edge detection

Oscar Castillo, Patricia Melin, Claudia I. González, 2013, 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS).

Optimization of Type-2 and Type-1 Fuzzy Integrator to Ensemble Neural Network with Fuzzy Weights Adjustment

Patricia Melin, Fevrier Valdez, Juan R. Castro, 2017, Nature-Inspired Design of Hybrid Intelligent Systems.

Uncertainty-Based Information Granule Formation

Oscar Castillo, Juan R. Castro, Mauricio A. Sanchez, 2014, Recent Advances on Hybrid Approaches for Designing Intelligent Systems.

A hardware architecture for real-time edge detection based on interval type-2 fuzzy logic

Juan R. Castro, José Luis González, Oscar Castillo, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks Illustrated with the Case of Non-linear Identification

Oscar Castillo, Patricia Melin, Juan R. Castro, 2009, IFSA/EUSFLAT Conf..

Towards A Multi-Dimensional Modelling Of Complex Social Systems Using Data Mining And Type-2 Neuro-Fuzzy System: Religious Affiliation Case Of Study

Manuel Castañón-Puga, Juan R. Castro, Dora-Luz Flores, 2012, ECMS.

On the Multi-Agent Modelling of Complex Knowledge Society for Business and Management System Using Distributed Agencies

Manuel Castañón-Puga, Dora-Luz Flores, Carelia Gaxiola-Pacheco, 2011, ICDIPC.

Fuzzy Models for Complex Social Systems Using Distributed Agencies in Poverty Studies

Manuel Castañón-Puga, Juan R. Castro, José Sergio Magdaleno-Palencia, 2011, ICSECS.

Distributed agencies applied to complex social systems, a multi-dimensional approach

Bogart Yail Márquez, Juan R. Castro, Manuel Castanon-Puga, 2011, The 2nd International Conference on Next Generation Information Technology.

A Distributed Agency Methodology applied to Complex Social Systems - Towards a Multi-dimensional Model of the Religious Affiliation Preference

Manuel Castañón-Puga, Juan R. Castro, Dora-Luz Flores, 2012, ICEIS.

The Theta/Beta Ratio as an Indicator of Evolution in Pediatric Patients Treated for Attention-Deficit/Hyperactivity Disorder (ADHD) - A Retrospective Study

Juan R. Castro, Olivia Mendoza, Antonio Rodríguez Díaz, 2015, BIOSIGNALS.

Edge detection method based on Interval type-2 fuzzy systems for color images

Oscar Castillo, Patricia Melin, Claudia I. González, 2015, 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC).

Interpretable Machine Learning from Granular Computing Perspective

Mauricio A. Sanchez, Juan R. Castro, Raúl Navarro-Almanza, 2019, Applied Decision-Making.

On Modeling Tacit Knowledge for Intelligent Systems

Olivia Mendoza, Mauricio A. Sanchez, Juan R. Castro, 2018 .

An approach for parameterized shadowed type-2 fuzzy membership functions applied in control applications

Claudia I. González, P. Melin, O. Castillo, 2018, Soft Computing - A Fusion of Foundations, Methodologies and Applications.

Toward General Type-2 Fuzzy Logic Systems Based on Shadowed Sets

Oscar Castillo, Patricia Melin, Claudia I. González, 2017, EUSFLAT/IWIFSGN.

Decision making fuzzy model for software engineering role assignment based on fuzzy logic and big five patterns using RAMSET

Juan R. Castro, Antonio Rodríguez Díaz, Guillermo Licea Sandoval, 2012, Intell. Decis. Technol..

An Approach to Fuzzy Inference System Based Fuzzy Cognitive Maps

Mauricio A. Sanchez, Itzel Barriba, Juan R. Castro, 2018 .

TA-Fuzzy Semantic Networks for Interaction Representation in Social Simulation

Juan R. Castro, Dora-Luz Flores, Antonio Rodríguez Díaz, 2009, Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control.

Optimization of Deep Neural Network for Recognition with Human Iris Biometric Measure

Patricia Melin, Fevrier Valdez, Juan R. Castro, 2017, NAFIPS.

Person Recognition with Modular Deep Neural Network Using the Iris Biometric Measure

Patricia Melin, Fevrier Valdez, Fernando Gaxiola, 2018, Fuzzy Logic Augmentation of Neural and Optimization Algorithms.

Evaluation and Analysis of Performances of Different Heuristics for Optimal Tuning Learning on Mamdani Based Neuro-Fuzzy System

Juan R. Castro, Mauricio A. Sanchez, Sukey Nakasima-López, 2020, Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms.