What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Machine learning
- Artificial neural network
Her primary areas of study are Fuzzy logic, Artificial intelligence, Fuzzy set operations, Fuzzy control system and Neuro-fuzzy.
Her research integrates issues of Intelligent control, Mathematical optimization and Control theory in her study of Fuzzy logic.
The various areas that Patricia Melin examines in her Artificial intelligence study include Machine learning and Pattern recognition.
Her Fuzzy set operations study combines topics from a wide range of disciplines, such as Fuzzy number and Fuzzy classification.
Her research in Fuzzy number intersects with topics in Algorithm and Membership function.
In her research on the topic of Fuzzy control system, Travelling salesman problem is strongly related with Ant colony optimization algorithms.
Her most cited work include:
- Type-2 Fuzzy Logic: Theory and Applications (412 citations)
- Path planning for autonomous mobile robot navigation with ant colony optimization and fuzzy cost function evaluation (275 citations)
- A review on the design and optimization of interval type-2 fuzzy controllers (246 citations)
What are the main themes of her work throughout her whole career to date?
Fuzzy logic, Artificial intelligence, Artificial neural network, Fuzzy control system and Neuro-fuzzy are her primary areas of study.
Her research investigates the link between Fuzzy logic and topics such as Control theory that cross with problems in Mobile robot.
Patricia Melin combines subjects such as Machine learning and Pattern recognition with her study of Artificial intelligence.
The concepts of her Artificial neural network study are interwoven with issues in Biometrics, Genetic algorithm, Series and Time series.
Her biological study spans a wide range of topics, including Data mining, Algorithm, Mathematical optimization and Interval.
Her research is interdisciplinary, bridging the disciplines of Intelligent control and Neuro-fuzzy.
She most often published in these fields:
- Fuzzy logic (63.28%)
- Artificial intelligence (54.96%)
- Artificial neural network (37.10%)
What were the highlights of her more recent work (between 2017-2021)?
- Fuzzy logic (63.28%)
- Artificial intelligence (54.96%)
- Fuzzy control system (32.01%)
In recent papers she was focusing on the following fields of study:
Her primary areas of investigation include Fuzzy logic, Artificial intelligence, Fuzzy control system, Artificial neural network and Type.
Her Fuzzy logic research incorporates themes from Data mining, Interval, Adaptation, Benchmark and Algorithm.
Her Neuro-fuzzy study in the realm of Artificial intelligence interacts with subjects such as Hybrid model.
Patricia Melin has included themes like Genetic algorithm, Mathematical optimization and Fuzzy set in her Fuzzy control system study.
Her Artificial neural network research is multidisciplinary, incorporating elements of Particle swarm optimization, Computational intelligence, Series and Time series.
Her biological study deals with issues like Sugeno integral, which deal with fields such as Algebra.
Between 2017 and 2021, her 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 her most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Artificial neural network
The scientist’s investigation covers issues in Fuzzy logic, Artificial neural network, Artificial intelligence, Fuzzy control system and Interval.
A large part of her Fuzzy logic studies is devoted to Fuzzy set.
In general Artificial neural network study, her work on Modular neural network and Self-organizing map often relates to the realm of Coronavirus and Spatial evolution, thereby connecting several areas of interest.
Her work carried out in the field of Artificial intelligence brings together such families of science as Type and Pattern recognition.
Her Fuzzy control system research also works with subjects such as
- Evolutionary computation, which have a strong connection to Defuzzification,
- Intelligent decision support system which intersects with area such as Fuzzy set operations, Fuzzy electronics and Neuro-fuzzy.
Her work in Fuzzy set operations covers topics such as Adaptive neuro fuzzy inference system which are related to areas like Intelligent control.
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