Juan R. Castro

Orcid: 0000-0003-1188-1862

Affiliations:
  • University of Baja California, Faculty of Chemical Sciences and Engineering, Tijuana, Mexico


According to our database1, Juan R. Castro authored at least 114 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A Type-3 Fuzzy Parameter Adjustment in Harmony Search for the Parameterization of Fuzzy Controllers.
Int. J. Fuzzy Syst., September, 2023

Interval Type-3 Fuzzy Differential Evolution for Parameterization of Fuzzy Controllers.
Int. J. Fuzzy Syst., June, 2023

A New Approach for Interval Type-3 Fuzzy Control of Nonlinear Plants.
Int. J. Fuzzy Syst., June, 2023

Forecasting the COVID-19 with Interval Type-3 Fuzzy Logic and the Fractal Dimension.
Int. J. Fuzzy Syst., February, 2023

A Methodology for Building of Interval and General Type-2 Fuzzy Systems Based on the Principle of Justifiable Granularity.
J. Multiple Valued Log. Soft Comput., 2023

2022
Interval Type-3 Fuzzy Systems: Theory and Design
Studies in Fuzziness and Soft Computing 418, Springer, ISBN: 978-3-030-96514-3, 2022

A methodology for building interval type-3 fuzzy systems based on the principle of justifiable granularity.
Int. J. Intell. Syst., 2022

Interpretable Mamdani neuro-fuzzy model through context awareness and linguistic adaptation.
Expert Syst. Appl., 2022

Interval type-3 fuzzy aggregators for ensembles of neural networks in COVID-19 time series prediction.
Eng. Appl. Artif. Intell., 2022

Interval type-3 fuzzy fractal approach in sound speaker quality control evaluation.
Eng. Appl. Artif. Intell., 2022

Hierarchical Decision Granules Optimization through the Principle of Justifiable Granularity.
Computación y Sistemas, 2022

Design of Type-3 Fuzzy Systems and Ensemble Neural Networks for COVID-19 Time Series Prediction Using a Firefly Algorithm.
Axioms, 2022

Interval Type-3 Fuzzy Control for Automated Tuning of Image Quality in Televisions.
Axioms, 2022

Interval Type-3 Fuzzy Aggregation of Neural Networks for Multiple Time Series Prediction: The Case of Financial Forecasting.
Axioms, 2022

Knowledge transfer for labeling unknown fuzzy sets using Grammar-Guided Genetic Algorithms.
Appl. Soft Comput., 2022

2020
Automated Ontology Extraction from Unstructured Texts using Deep Learning.
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020

Evaluation and Analysis of Performances of Different Heuristics for Optimal Tuning Learning on Mamdani Based Neuro-Fuzzy System.
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020

Design of an interval Type-2 fuzzy model with justifiable uncertainty.
Inf. Sci., 2020

2019
An approach for parameterized shadowed type-2 fuzzy membership functions applied in control applications.
Soft Comput., 2019

Edge Detection Approach Based on Type-2 Fuzzy Images.
J. Multiple Valued Log. Soft Comput., 2019

PSO with Dynamic Adaptation of Parameters for Optimization in Neural Networks with Interval Type-2 Fuzzy Numbers Weights.
Axioms, 2019

2018
Person Recognition with Modular Deep Neural Network Using the Iris Biometric Measure.
Proceedings of the Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications, 2018

A Takagi-Sugeno-Kang Fuzzy Model Formalization of Eelgrass Leaf Biomass Allometry with Application to the Estimation of Average Biomass of Leaves in Shoots: Comparing the Reproducibility Strength of the Present Fuzzy and Related Crisp Proxies.
Proceedings of the Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications, 2018

Fuzzy Dynamic Parameter Adaptation in the Harmony Search Algorithm for the Optimization of the Ball and Beam Controller.
Adv. Oper. Res., 2018

2017
An Overview of Granular Computing Using Fuzzy Logic Systems.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

A FPGA-Based Hardware Architecture Approach for Real-Time Fuzzy Edge Detection.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

Choquet Integral and Interval Type-2 Fuzzy Choquet Integral for Edge Detection.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

Non-singleton Interval Type-2 Fuzzy Systems as Integration Methods in Modular Neural Networks Used Genetic Algorithms to Design.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

General Type-2 Fuzzy Edge Detection in the Preprocessing of a Face Recognition System.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

Optimization of Type-2 and Type-1 Fuzzy Integrator to Ensemble Neural Network with Fuzzy Weights Adjustment.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

Comparison of T-Norms and S-Norms for Interval Type-2 Fuzzy Numbers in Weight Adjustment for Neural Networks.
Inf., 2017

Hybrid Learning for General Type-2 TSK Fuzzy Logic Systems.
Algorithms, 2017

Optimization of Deep Neural Network for Recognition with Human Iris Biometric Measure.
Proceedings of the Fuzzy Logic in Intelligent System Design, 2017

Toward General Type-2 Fuzzy Logic Systems Based on Shadowed Sets.
Proceedings of the Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT- 2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017, 2017

2016
An improved sobel edge detection method based on generalized type-2 fuzzy logic.
Soft Comput., 2016

Fuzzy Sets in Dynamic Adaptation of Parameters of a Bee Colony Optimization for Controlling the Trajectory of an Autonomous Mobile Robot.
Sensors, 2016

Method for Higher Order polynomial Sugeno Fuzzy Inference Systems.
Inf. Sci., 2016

A generalized type-2 fuzzy granular approach with applications to aerospace.
Inf. Sci., 2016

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.
Inf. Sci., 2016

Optimization of interval type-2 fuzzy systems for image edge detection.
Appl. Soft Comput., 2016

Optimization of type-2 fuzzy weights in backpropagation learning for neural networks using GAs and PSO.
Appl. Soft Comput., 2016

Ensemble Neural Network with Type-2 Fuzzy Weights Using Response Integration for Time Series Prediction.
Proceedings of the Recent Developments and the New Direction in Soft-Computing Foundations and Applications, 2016

General Type-2 fuzzy edge detectors applied to face recognition systems.
Proceedings of the 2016 Annual Conference of the North American Fuzzy Information Processing Society, 2016

Comparison between Choquet and Sugeno integrals as aggregation operators for pattern recognition.
Proceedings of the 2016 Annual Conference of the North American Fuzzy Information Processing Society, 2016

A hardware architecture for real-time edge detection based on interval type-2 fuzzy logic.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

General type-2 fuzzy edge detector applied on face recognition system using neural networks.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Optimization with genetic algorithm and particle swarm optimization of type-2 fuzzy integrator for ensemble neural network in time series.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

A Generalized Type-2 Fuzzy Logic System for the dynamic adaptation the parameters in a Bee Colony Optimization algorithm applied in an autonomous mobile robot control.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015
Method for Measurement of Uncertainty Applied to the Formation of Interval Type-2 Fuzzy Sets.
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015

Color Image Edge Detection Method Based on Interval Type-2 Fuzzy Systems.
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015

Generalized Type-2 Fuzzy Systems for controlling a mobile robot and a performance comparison with Interval Type-2 and Type-1 Fuzzy Systems.
Expert Syst. Appl., 2015

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.
Appl. Soft Comput., 2015

Response integration in modular neural networks using Choquet Integral with Interval type 2 Sugeno measures.
Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015

Edge detection method based on Interval type-2 fuzzy systems for color images.
Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015

Building Java Intelligent Applications Data Mining for Java Type-2 Fuzzy Inference Systems.
Proceedings of the International Conference on Computational Science, 2015

Method for Uncertainty Measurement and Its Application to the Formation of Interval Type-2 Fuzzy Sets.
Proceedings of the Novel Developments in Uncertainty Representation and Processing - Advances in Intuitionistic Fuzzy Sets and Generalized Nets, 2015

Cuckoo search algorithm for the optimization of type-2 fuzzy image edge detection systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

The Theta/Beta Ratio as an Indicator of Evolution in Pediatric Patients Treated for Attention-Deficit/Hyperactivity Disorder (ADHD) - A Retrospective Study.
Proceedings of the BIOSIGNALS 2015, 2015

2014
Uncertainty-Based Information Granule Formation.
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014

Genetic Algorithm Optimization for Type-2 Non-singleton Fuzzy Logic Controllers.
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014

Edge-Detection Method for Image Processing Based on Generalized Type-2 Fuzzy Logic.
IEEE Trans. Fuzzy Syst., 2014

Application of interval type-2 fuzzy neural networks in non-linear identification and time series prediction.
Soft Comput., 2014

Fuzzy granular gravitational clustering algorithm for multivariate data.
Inf. Sci., 2014

Choquet Integral with Interval Type 2 Sugeno Measures as an Integration Method for Modular Neural Networks.
Proceedings of the Recent Developments and New Direction in Soft-Computing Foundations and Applications, 2014

Optimization by Cuckoo Search of Interval Type-2 Fuzzy Logic Systems for Edge Detection.
Proceedings of the Recent Developments and New Direction in Soft-Computing Foundations and Applications, 2014

Comparing regression using artificial neural nets and intelligent hybrid method to achieve the higher learning preferences of students.
Proceedings of the 2014 International Conference on Education Technologies and Computers, 2014

2013
An Analysis of the Relationship between the Size of the Clusters and the Principle of Justifiable Granularity in Clustering Algorithms.
Proceedings of the Soft Computing Applications in Optimization, Control, and Recognition, 2013

Type-2 Fuzzy Logic Grammars in Language Evolution.
Proceedings of the Soft Computing Applications in Optimization, Control, and Recognition, 2013

An Analysis on the Intrinsic Implementation of the Principle of Justifiable Granularity in Clustering Algorithms.
Proceedings of the Recent Advances on Hybrid Intelligent Systems, 2013

Interval Type-2 Fuzzy System for Image Edge Detection Quality Evaluation Applied to Synthetic and Real Images.
Proceedings of the Recent Advances on Hybrid Intelligent Systems, 2013

Type-2 Fuzzy Grammar in Language Evolution.
Proceedings of the Recent Advances on Hybrid Intelligent Systems, 2013

A visual toolbox for modeling and testing multi-net neural systems.
Comput. Appl. Eng. Educ., 2013

Using MatLab's fuzzy logic toolbox to create an application for RAMSET in software engineering courses.
Comput. Appl. Eng. Educ., 2013

Computational intelligence software for interval type-2 fuzzy logic.
Comput. Appl. Eng. Educ., 2013

Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks in Nonlinear Identification.
Adv. Fuzzy Syst., 2013

An edge detection method based on generalized type-2 fuzzy logic.
Proceedings of the 2013 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems, 2013

Implementing Fuzzy Subtractive Clustering to Build a Personality Fuzzy Model Based on Big Five Patterns for Engineers.
Proceedings of the Advances in Soft Computing and Its Applications, 2013

JT2FISA Java Type-2 Fuzzy Inference Systems Class Library for Building Object-Oriented Intelligent Applications.
Proceedings of the Advances in Soft Computing and Its Applications, 2013

A class of interval type-2 fuzzy neural networks illustrated with application to non-linear identification.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A hybrid method for IT2 TSK formation based on the principle of justifiable granularity and PSO for spread optimization.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Fuzzy operators for quality evaluation in images edge detection.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Generalized type-2 fuzzy logic in response integration of modular neural networks.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

A new approach based on generalized type-2 fuzzy logic for edge detection.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

JT2FIS: Java Type-2 Fuzzy Inference System - An Object-oriented Class Library for Building Java Intelligent Applications.
Proceedings of the ICEIS 2013, 2013

Formation of general type-2 Gaussian membership functions based on the information granule numerical evidence.
Proceedings of the 2013 IEEE Workshop on Hybrid Intelligent Models and Applications, 2013

2012
Decision making fuzzy model for software engineering role assignment based on fuzzy logic and big five patterns using RAMSET.
Intell. Decis. Technol., 2012

Distance Aproximator Using IEEE 802.11 Received Signal Strength and Fuzzy Logic.
Proceedings of the Advances in Computational Intelligence, 2012

Towards a Personality Fuzzy Model Based on Big Five Patterns for Engineers Using an ANFIS Learning Approach.
Proceedings of the Advances in Computational Intelligence, 2012

A Distributed Agency Methodology applied to Complex Social Systems - Towards a Multi-dimensional Model of the Religious Affiliation Preference.
Proceedings of the ICEIS 2012 - Proceedings of the 14th International Conference on Enterprise Information Systems, Volume 1, Wroclaw, Poland, 28 June, 2012

Towards A Multi-Dimensional Modelling Of Complex Social Systems Using Data Mining And Type-2 Neuro-Fuzzy System: Religious Affiliation Case Of Study.
Proceedings of the 26th European Conference on Modelling and Simulation, 2012

2011
Towards a Fuzzy Model for RAMSET: Role Assignment Methodology for Software Engineering Teams.
Proceedings of the Soft Computing for Intelligent Control and Mobile Robotics, 2011

An Interval Type-2 Fuzzy Neural Network for Chaotic Time Series Prediction with Cross-Validation and Akaike Test.
Proceedings of the Soft Computing for Intelligent Control and Mobile Robotics, 2011

Assessment of Uncertainty in the Projective Tree Test Using an ANFIS Learning Approach.
Proceedings of the Advances in Soft Computing, 2011

Knowing Software Engineer's Personality to Improve Software Development.
Proceedings of the ICSOFT 2011, 2011

Fuzzy Models for Complex Social Systems Using Distributed Agencies in Poverty Studies.
Proceedings of the Software Engineering and Computer Systems, 2011

A Distributed Agency Methodology Applied to Complex Social Systems - A Multi-Dimensional Approach.
Proceedings of the ICEIS 2011, 2011

On the Multi-Agent Modelling of Complex Knowledge Society for Business and Management System Using Distributed Agencies.
Proceedings of the Digital Information Processing and Communications, 2011

2010
Comparison of Fuzzy Edge Detectors Based on the Image Recognition Rate as Performance Index Calculated with Neural Networks.
Proceedings of the Soft Computing for Recognition Based on Biometrics, 2010

Big Five Patterns for Software Engineering Roles Using an ANFIS Learning Approach with RAMSET.
Proceedings of the Advances in Soft Computing, 2010

Experiences in software engineering courses using psychometrics with RAMSET.
Proceedings of the 15th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, 2010

A T-S Fuzzy Logic Controller for biped robot walking based on adaptive network fuzzy inference system.
Proceedings of the International Joint Conference on Neural Networks, 2010

Type-2 fuzzy load regualation of a servomechanism with backlash using only motor position measurements.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
TA-Fuzzy Semantic Networks for Interaction Representation in Social Simulation.
Proceedings of the Evolutionary Design of Intelligent Systems in Modeling, 2009

A hybrid learning algorithm for a class of interval type-2 fuzzy neural networks.
Inf. Sci., 2009

The Use of Interval Type-2 Fuzzy Logic as a General Method for Edge Detection.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks Illustrated with the Case of Non-linear Identification.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

2008
A Hybrid Learning Algorithm for Interval Type-2 Fuzzy Neural Networks: The Case of Time Series Prediction.
Proceedings of the Soft Computing for Hybrid Intelligent Systems, 2008

Building Fuzzy Inference Systems with a New Interval Type-2 Fuzzy Logic Toolbox.
Trans. Comput. Sci., 2008

Intelligent control using an Interval Type-2 Fuzzy Neural Network with a hybrid learning algorithm.
Proceedings of the FUZZ-IEEE 2008, 2008

2007
Building Fuzzy Inference Systems with the Interval Type-2 Fuzzy Logic Toolbox.
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007

Data Mining for extraction of fuzzy IF-THEN rules using Mamdani and Takagi-Sugeno-Kang FIS.
Eng. Lett., 2007

Interval Type-2 Fuzzy Logic Toolbox.
Eng. Lett., 2007

Hybrid Learning Algorithm for Interval Type-2 Fuzzy Neural Networks.
Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

An Interval Type-2 Fuzzy Logic Toolbox for Control Applications.
Proceedings of the FUZZ-IEEE 2007, 2007


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