What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Programming language
- Statistics
Michio Sugeno mainly investigates Fuzzy control system, Fuzzy logic, Fuzzy classification, Artificial intelligence and Defuzzification.
His Fuzzy control system study results in a more complete grasp of Control engineering.
His work on Fuzzy rule and Genetic fuzzy systems as part of general Control engineering research is frequently linked to Microcomputer, bridging the gap between disciplines.
His research in Fuzzy logic intersects with topics in Identification and Algebra.
His research in Artificial intelligence is mostly focused on Fuzzy associative matrix.
His Defuzzification study often links to related topics such as Fuzzy set operations.
His most cited work include:
- Fuzzy identification of systems and its applications to modeling and control (15919 citations)
- Structure identification of fuzzy model (2307 citations)
- A fuzzy-logic-based approach to qualitative modeling (2192 citations)
What are the main themes of his work throughout his whole career to date?
Michio Sugeno mainly focuses on Fuzzy logic, Artificial intelligence, Fuzzy measure theory, Fuzzy control system and Choquet integral.
Michio Sugeno focuses mostly in the field of Fuzzy logic, narrowing it down to matters related to Mathematical optimization and, in some cases, Set.
His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning, Pattern recognition, Everyday language and Natural language processing.
The Fuzzy control system study combines topics in areas such as Stability and Control.
His Fuzzy classification study combines topics in areas such as Fuzzy number and Neuro-fuzzy.
Michio Sugeno has included themes like Fuzzy set operations and Membership function in his Fuzzy number study.
He most often published in these fields:
- Fuzzy logic (36.16%)
- Artificial intelligence (35.59%)
- Fuzzy measure theory (19.77%)
What were the highlights of his more recent work (between 2012-2021)?
- Control theory (13.56%)
- Nonlinear system (7.91%)
- Piecewise (6.78%)
In recent papers he was focusing on the following fields of study:
Michio Sugeno mostly deals with Control theory, Nonlinear system, Piecewise, Fuzzy logic and Feedback linearization.
Michio Sugeno has researched Nonlinear system in several fields, including Linear matrix inequality and Canonical form.
His Piecewise study frequently links to other fields, such as Fuzzy control system.
His Fuzzy control system study is related to the wider topic of Artificial intelligence.
His Artificial intelligence research incorporates themes from Control and Dynamic logic.
The various areas that Michio Sugeno examines in his Fuzzy logic study include Turn and Applied mathematics.
Between 2012 and 2021, his most popular works were:
- Fuzzy Control Systems: Past, Present and Future (56 citations)
- Towards linguistic descriptions of phenomena (43 citations)
- A note on derivatives of functions with respect to fuzzy measures (35 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Programming language
- Statistics
His primary areas of study are Choquet integral, Fuzzy measure theory, Fuzzy logic, Choquet theory and Lebesgue integration.
His Choquet integral research incorporates elements of Function, Variety, Applied mathematics and Radon–Nikodym theorem.
Michio Sugeno interconnects Measure, Statistics, Mathematical statistics, Monotonic function and Measure in the investigation of issues within Applied mathematics.
His research in the fields of Sugeno integral overlaps with other disciplines such as Panel session.
His Lebesgue integration research is multidisciplinary, incorporating elements of Volterra integral equation, Integral equation and Divergence.
His Mathematical analysis study incorporates themes from Probability distribution, Hellinger distance and Pure mathematics.
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