What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Statistics
His primary areas of investigation include Artificial intelligence, Fuzzy set, Fuzzy logic, Data mining and Fuzzy classification.
Witold Pedrycz has researched Artificial intelligence in several fields, including Machine learning and Pattern recognition.
In his study, Data science and Optimization problem is inextricably linked to Granular computing, which falls within the broad field of Fuzzy set.
As part of one scientific family, Witold Pedrycz deals mainly with the area of Fuzzy logic, narrowing it down to issues related to the Group decision-making, and often Consistency.
His work in Data mining covers topics such as Fuzzy clustering which are related to areas like Data structure.
His Fuzzy classification research integrates issues from Fuzzy set operations and Neuro-fuzzy.
His most cited work include:
- A fuzzy extension of Saaty's priority theory (2028 citations)
- Fuzzy control and fuzzy systems (946 citations)
- An introduction to fuzzy sets : analysis and design (914 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Artificial intelligence, Fuzzy logic, Fuzzy set, Data mining and Cluster analysis.
His research in Artificial intelligence intersects with topics in Machine learning and Pattern recognition.
His study ties his expertise on Algorithm together with the subject of Fuzzy logic.
Witold Pedrycz focuses mostly in the field of Fuzzy set, narrowing it down to topics relating to Granular computing and, in certain cases, Granularity.
Witold Pedrycz interconnects Defuzzification and Adaptive neuro fuzzy inference system in the investigation of issues within Neuro-fuzzy.
His Fuzzy number research incorporates themes from Discrete mathematics and Membership function.
He most often published in these fields:
- Artificial intelligence (63.87%)
- Fuzzy logic (55.51%)
- Fuzzy set (41.02%)
What were the highlights of his more recent work (between 2017-2021)?
- Fuzzy logic (55.51%)
- Artificial intelligence (63.87%)
- Data mining (36.22%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Fuzzy logic, Artificial intelligence, Data mining, Cluster analysis and Fuzzy set.
His Fuzzy logic research includes themes of Set, Group decision-making, Mathematical optimization and Interval.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning and Pattern recognition.
Witold Pedrycz has included themes like Granularity and Computational intelligence in his Data mining study.
His Cluster analysis research is multidisciplinary, incorporating elements of Process and Series.
In his research, Data science is intimately related to Granular computing, which falls under the overarching field of Fuzzy set.
Between 2017 and 2021, his most popular works were:
- Fifty years of Information Sciences: A bibliometric overview (108 citations)
- Fifty years of Information Sciences: A bibliometric overview (108 citations)
- Fifty years of Information Sciences: A bibliometric overview (108 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Statistics
Fuzzy logic, Artificial intelligence, Fuzzy set, Cluster analysis and Pattern recognition are his primary areas of study.
Witold Pedrycz combines subjects such as Consistency, Mathematical optimization, Data mining and Process with his study of Fuzzy logic.
The concepts of his Data mining study are interwoven with issues in Search tree, Fuzzy classification, Granularity and Time series.
His work deals with themes such as Machine learning and Selection, which intersect with Artificial intelligence.
His Fuzzy set study integrates concerns from other disciplines, such as Semantics, Algorithm, Synthetic data, Series and Operations research.
In his research on the topic of Cluster analysis, Pixel is strongly related with Segmentation.
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.
