H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 70 Citations 17,467 627 World Ranking 802 National Ranking 2

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Statistics

Oscar Castillo mainly focuses on Fuzzy logic, Fuzzy control system, Artificial intelligence, Fuzzy set operations and Neuro-fuzzy. His studies in Fuzzy logic integrate themes in fields like Intelligent control, Mathematical optimization and Control theory. His biological study spans a wide range of topics, including Robotics and Mobile robot.

His research integrates issues of Ant colony optimization algorithms, Interval and Nonlinear system in his study of Fuzzy control system. His Artificial intelligence research incorporates themes from Machine learning and Pattern recognition. Oscar Castillo has included themes like Fuzzy number, Defuzzification, Fuzzy classification and Algorithm in his Fuzzy set operations study.

His most cited work include:

  • Type-2 Fuzzy Logic: Theory and Applications (412 citations)
  • Optimization of interval type-2 fuzzy logic controllers for a perturbed autonomous wheeled mobile robot using genetic algorithms (280 citations)
  • Path planning for autonomous mobile robot navigation with ant colony optimization and fuzzy cost function evaluation (275 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Fuzzy logic, Artificial intelligence, Fuzzy control system, Neuro-fuzzy and Control theory. Fuzzy logic and Mathematical optimization are commonly linked in his work. His Artificial intelligence study combines topics in areas such as Machine learning, Modular design and Pattern recognition.

In his research, Control engineering is intimately related to Intelligent control, which falls under the overarching field of Fuzzy control system. The study incorporates disciplines such as Type and Mobile robot in addition to Control theory. His research investigates the connection between Fuzzy set operations and topics such as Fuzzy classification that intersect with issues in Data mining.

He most often published in these fields:

  • Fuzzy logic (67.39%)
  • Artificial intelligence (40.14%)
  • Fuzzy control system (37.26%)

What were the highlights of his more recent work (between 2017-2021)?

  • Fuzzy logic (67.39%)
  • Fuzzy control system (37.26%)
  • Artificial intelligence (40.14%)

In recent papers he was focusing on the following fields of study:

Fuzzy logic, Fuzzy control system, Artificial intelligence, Type and Control theory are his primary areas of study. His study in Fuzzy logic is interdisciplinary in nature, drawing from both Mobile robot, Control theory, Interval, Benchmark and Algorithm. His Algorithm study integrates concerns from other disciplines, such as Set and Crossover.

His study looks at the intersection of Fuzzy control system and topics like Mathematical optimization with Measure and Adaptation. His Artificial intelligence research includes elements of Machine learning and Pattern recognition. His specific area of interest is Control theory, where Oscar Castillo studies Membership function.

Between 2017 and 2021, his most popular works were:

  • Comparative analysis of noise robustness of type 2 fuzzy logic controllers (99 citations)
  • High order α-planes integration: A new approach to computational cost reduction of General Type-2 Fuzzy Systems (56 citations)
  • Interval type-2 fuzzy logic for dynamic parameter adaptation in a modified gravitational search algorithm (55 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Statistics

Oscar Castillo focuses on Fuzzy logic, Fuzzy control system, Interval, Artificial intelligence and Benchmark. His work deals with themes such as Control theory, Control theory, Mathematical optimization, Adaptation and Algorithm, which intersect with Fuzzy logic. His Fuzzy control system research includes themes of Swarm behaviour, Differential evolution, Mobile robot, Defuzzification and Optimization problem.

In his study, Neuro-fuzzy is inextricably linked to Fuzzy classification, which falls within the broad field of Defuzzification. His Artificial intelligence study frequently draws connections between related disciplines such as Machine learning. His work investigates the relationship between Intelligent control and topics such as Fuzzy set operations that intersect with problems in Fuzzy number.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Type-2 Fuzzy Logic: Theory and Applications

O. Castillo;P. Melin;J. Kacprzyk;W. Pedrycz.
(2007)

745 Citations

Path planning for autonomous mobile robot navigation with ant colony optimization and fuzzy cost function evaluation

M.A. Porta Garcia;Oscar Montiel;Oscar Castillo;Roberto Sepúlveda.
soft computing (2009)

409 Citations

Optimization of interval type-2 fuzzy logic controllers for a perturbed autonomous wheeled mobile robot using genetic algorithms

Ricardo Martínez;Oscar Castillo;Luis T. Aguilar.
Information Sciences (2009)

358 Citations

A review on the design and optimization of interval type-2 fuzzy controllers

Oscar Castillo;Patricia Melin.
soft computing (2012)

309 Citations

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

Juan R. Castro;Oscar Castillo;Patricia Melin;Antonio Rodríguez-Díaz.
Information Sciences (2009)

295 Citations

Comparative study of bio-inspired algorithms applied to the optimization of type-1 and type-2 fuzzy controllers for an autonomous mobile robot

Oscar Castillo;Ricardo Martínez-Marroquín;Patricia Melin;Fevrier Valdez.
Information Sciences (2012)

291 Citations

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

Oscar Castillo;Leticia Amador-Angulo;Juan R. Castro;Mario Garcia-Valdez.
Information Sciences (2016)

286 Citations

Experimental study of intelligent controllers under uncertainty using type-1 and type-2 fuzzy logic

Roberto Sepúlveda;Oscar Castillo;Patricia Melin;Antonio Rodríguez-Díaz.
Information Sciences (2007)

280 Citations

An Interval Type-2 Fuzzy Logic Toolbox for Control Applications

J.R. Castro;O. Castillo;P. Melin.
ieee international conference on fuzzy systems (2007)

269 Citations

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

Patricia Melin;Frumen Olivas;Oscar Castillo;Fevrier Valdez.
Expert Systems With Applications (2013)

250 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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