What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mathematical analysis
- Algebra
His scientific interests lie mostly in Discrete mathematics, Fuzzy logic, Fuzzy set, Algebra and Norm.
His Discrete mathematics research incorporates themes from Multiplicative function, Fuzzy number, Fuzzy measure theory, Choquet integral and Applied mathematics.
As part of the same scientific family, Erich Peter Klement usually focuses on Fuzzy number, concentrating on Fuzzy set operations and intersecting with Defuzzification.
His research investigates the connection between Fuzzy logic and topics such as Theoretical computer science that intersect with problems in Logical connective, Norm and Mathematical logic.
He interconnects Parameterized complexity, Representation, Series and Pure mathematics in the investigation of issues within Fuzzy set.
In general Algebra study, his work on Binary operation often relates to the realm of Position paper, thereby connecting several areas of interest.
His most cited work include:
- Limit Theorems for Fuzzy Random Variables (288 citations)
- A Universal Integral as Common Frame for Choquet and Sugeno Integral (248 citations)
- Triangular Norm-Based Measures and Games with Fuzzy Coalitions (240 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Discrete mathematics, Fuzzy logic, Fuzzy set, Algebra and Pure mathematics.
His research integrates issues of Fuzzy number, T-norm, Fuzzy measure theory and Choquet integral in his study of Discrete mathematics.
His research brings together the fields of Norm and Fuzzy logic.
His studies in Fuzzy set integrate themes in fields like Algorithm and Fuzzy control system.
Erich Peter Klement studies Algebra, focusing on Algebraic number in particular.
His research in Pure mathematics intersects with topics in Copula and Mathematical analysis.
He most often published in these fields:
- Discrete mathematics (34.69%)
- Fuzzy logic (27.04%)
- Fuzzy set (22.96%)
What were the highlights of his more recent work (between 2012-2021)?
- Copula (12.76%)
- Evolutionary algorithm (4.08%)
- Fuzzy set (22.96%)
In recent papers he was focusing on the following fields of study:
Erich Peter Klement spends much of his time researching Copula, Evolutionary algorithm, Fuzzy set, Pure mathematics and Evolutionary computation.
The concepts of his Copula study are interwoven with issues in Bivariate analysis, Sugeno integral and Multiple integral.
His Fuzzy set study is concerned with Fuzzy logic in general.
His study in Fuzzy logic is interdisciplinary in nature, drawing from both Discrete mathematics, Sketch, Mathematics education and Greatest element.
The Discrete mathematics study combines topics in areas such as Choquet integral, Pointwise convergence and Strongly monotone.
In the subject of general Pure mathematics, his work in Lipschitz continuity is often linked to Convexity, thereby combining diverse domains of study.
Between 2012 and 2021, his most popular works were:
- Hybridization of multi-objective evolutionary algorithms and artificial neural networks for optimizing the performance of electrical drives (67 citations)
- Integrals based on monotone set functions (51 citations)
- Fault detection in reciprocating compressor valves under varying load conditions (50 citations)
In his most recent research, the most cited papers focused on:
- Mathematical analysis
- Artificial intelligence
- Real number
Erich Peter Klement mostly deals with Evolutionary algorithm, Artificial intelligence, Evolutionary computation, Discrete mathematics and Machine learning.
In his study, Optimization problem is strongly linked to Pareto principle, which falls under the umbrella field of Evolutionary algorithm.
His work on Decision tree as part of general Artificial intelligence research is often related to Set, thus linking different fields of science.
His Discrete mathematics study combines topics from a wide range of disciplines, such as Sugeno integral, Bernstein's theorem on monotone functions and Multiple integral.
His Sugeno integral research is under the purview of Fuzzy logic.
The various areas that Erich Peter Klement examines in his Machine learning study include Structure and Visual inspection.
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