What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Quantum mechanics
His primary areas of study are Discrete mathematics, Interval, Artificial intelligence, Algorithm and Mathematical optimization.
His studies deal with areas such as Fuzzy number, Upper and lower bounds, Linear system and Applied mathematics as well as Discrete mathematics.
Vladik Kreinovich studies Interval, focusing on Interval arithmetic in particular.
His Interval arithmetic research includes themes of Fuzzy set, Nested intervals, Optimization problem, Interval and Robustness.
His studies deal with areas such as Uncertainty quantification, Machine learning and Measure as well as Artificial intelligence.
His work carried out in the field of Algorithm brings together such families of science as Function, Time domain and Population variance.
His most cited work include:
- Handbook of Granular Computing (457 citations)
- Computational Complexity and Feasibility of Data Processing and Interval Computations (363 citations)
- Applications of interval computations (251 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Fuzzy logic, Discrete mathematics, Interval, Artificial intelligence and Algorithm.
His study connects Data mining and Fuzzy logic.
His Discrete mathematics study combines topics in areas such as Function and Interval, Combinatorics.
His Interval study integrates concerns from other disciplines, such as Mathematical optimization, Statistics, Probabilistic logic and Computation.
His Artificial intelligence study frequently links to related topics such as Machine learning.
Vladik Kreinovich has included themes like Fuzzy classification and Membership function in his Fuzzy number study.
He most often published in these fields:
- Fuzzy logic (14.84%)
- Discrete mathematics (14.79%)
- Interval (14.73%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (13.20%)
- Fuzzy logic (14.84%)
- Applied mathematics (5.67%)
In recent papers he was focusing on the following fields of study:
Vladik Kreinovich focuses on Artificial intelligence, Fuzzy logic, Applied mathematics, Mathematical economics and Algorithm.
His study on Artificial intelligence is mostly dedicated to connecting different topics, such as Machine learning.
Between 2018 and 2021, his most popular works were:
- Review of the Book “Mind in Motion: How Action Shapes Thought” by Barbara Tversky, Basic Books, New York, 2019 (9 citations)
- Why Quantum (Wave Probability) Models Are a Good Description of Many Non-Quantum Complex Systems, and How to Go Beyond Quantum Models (7 citations)
- From Traditional Neural Networks to Deep Learning: Towards Mathematical Foundations of Empirical Successes (6 citations)
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