What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Machine learning
His scientific interests lie mostly in Fuzzy set, Fuzzy logic, Algorithm, Fuzzy number and Artificial intelligence.
The study incorporates disciplines such as Data mining and Interval in addition to Fuzzy set.
The Fuzzy logic study combines topics in areas such as Computational complexity theory, Control theory and Arithmetic.
His Algorithm research integrates issues from Convergence, Centroid and Mathematical optimization.
His biological study spans a wide range of topics, including Fuzzy set operations and Fuzzy classification.
His Artificial intelligence research includes themes of Machine learning and Pattern recognition.
His most cited work include:
- Generating fuzzy rules by learning from examples (2505 citations)
- Fuzzy basis functions, universal approximation, and orthogonal least-squares learning (2154 citations)
- Type-2 fuzzy sets made simple (1942 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Fuzzy set, Algorithm, Artificial intelligence, Fuzzy logic and Fuzzy number.
In his study, Type is strongly linked to Interval, which falls under the umbrella field of Fuzzy set.
His Algorithm research includes elements of Cumulant, Mathematical optimization and Signal processing.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning and Pattern recognition.
His studies deal with areas such as Discrete mathematics and Control system, Control theory as well as Fuzzy logic.
Jerry M. Mendel interconnects Fuzzy set operations and Fuzzy classification in the investigation of issues within Fuzzy number.
He most often published in these fields:
- Fuzzy set (37.21%)
- Algorithm (35.97%)
- Artificial intelligence (30.35%)
What were the highlights of his more recent work (between 2010-2021)?
- Fuzzy set (37.21%)
- Artificial intelligence (30.35%)
- Interval (15.80%)
In recent papers he was focusing on the following fields of study:
Jerry M. Mendel mainly investigates Fuzzy set, Artificial intelligence, Interval, Fuzzy logic and Algorithm.
The concepts of his Fuzzy set study are interwoven with issues in Word and Data mining.
Jerry M. Mendel works mostly in the field of Artificial intelligence, limiting it down to topics relating to Machine learning and, in certain cases, Computational linguistics.
His research in Fuzzy logic focuses on subjects like Control theory, which are connected to Control engineering.
His Algorithm study combines topics from a wide range of disciplines, such as Convergence and Centroid.
His Fuzzy number research incorporates themes from Fuzzy set operations and Fuzzy classification.
Between 2010 and 2021, his most popular works were:
- Optimal Seismic Deconvolution: An Estimation-Based Approach (179 citations)
- General Type-2 Fuzzy Logic Systems Made Simple: A Tutorial (166 citations)
- Enhanced Interval Approach for Encoding Words Into Interval Type-2 Fuzzy Sets and Its Convergence Analysis (147 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Machine learning
Fuzzy set, Interval, Fuzzy logic, Algorithm and Artificial intelligence are his primary areas of study.
His work on Fuzzy set deals in particular with Fuzzy number and Type-2 fuzzy sets and systems.
His Fuzzy number study also includes
- Fuzzy set operations and related Neuro-fuzzy,
- Membership function and related Fuzzy classification.
His research in Fuzzy logic intersects with topics in Control system, Control theory and Weighted geometric mean.
His Algorithm research is multidisciplinary, incorporating perspectives in Convergence and Centroid.
In general Artificial intelligence, his work in Fuzzy control system, Similarity measure, Fuzzy electronics and Outlier is often linked to Parallel coordinates linking many areas of study.
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