What is he best known for?
The fields of study he is best known for:
- Discrete mathematics
- Algebra
- Real number
Benjamin Bedregal focuses on Discrete mathematics, Fuzzy logic, Fuzzy set, Type-2 fuzzy sets and systems and Fuzzy set operations.
His Discrete mathematics research incorporates themes from Correctness, Associative property and Interval.
His biological study spans a wide range of topics, including Neutrosophic set, Element and Combinatorics.
His work in the fields of Fuzzy set, such as Fuzzy measure theory, overlaps with other areas such as Shapley value.
Fuzzy set operations is frequently linked to Fuzzy number in his study.
Class, Fuzzy rule and Choquet integral is closely connected to Algebra in his research, which is encompassed under the umbrella topic of Membership function.
His most cited work include:
- A Historical Account of Types of Fuzzy Sets and Their Relationships (250 citations)
- A position and perspective analysis of hesitant fuzzy sets on information fusion in decision making. Towards high quality progress (170 citations)
- A New Approach to Interval-Valued Choquet Integrals and the Problem of Ordering in Interval-Valued Fuzzy Set Applications (135 citations)
What are the main themes of his work throughout his whole career to date?
Benjamin Bedregal spends much of his time researching Fuzzy logic, Discrete mathematics, Fuzzy set, Algebra and Fuzzy number.
His work on Fuzzy implication as part of his general Fuzzy logic study is frequently connected to Context, thereby bridging the divide between different branches of science.
His Discrete mathematics research is multidisciplinary, relying on both Generalization, Order and Pure mathematics.
His work in Generalization addresses subjects such as Choquet integral, which are connected to disciplines such as Fuzzy reasoning and Mathematical optimization.
His study connects Degree and Fuzzy set.
His Fuzzy number research is multidisciplinary, incorporating elements of Fuzzy set operations and Fuzzy classification.
He most often published in these fields:
- Fuzzy logic (46.06%)
- Discrete mathematics (44.49%)
- Fuzzy set (25.98%)
What were the highlights of his more recent work (between 2019-2021)?
- Pure mathematics (18.50%)
- Fuzzy logic (46.06%)
- Class (10.63%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Pure mathematics, Fuzzy logic, Class, Generalization and Order.
His Pure mathematics research includes elements of Function, Homogeneity and Fuzzy rule.
The Fuzzy logic study combines topics in areas such as Theoretical computer science, Characterization, Mathematical optimization, Algorithm and Entropy.
Within one scientific family, Benjamin Bedregal focuses on topics pertaining to Associative property under Class, and may sometimes address concerns connected to Operator.
The concepts of his Generalization study are interwoven with issues in Choquet integral and Monotonic function.
His research investigates the connection between Order and topics such as Discrete mathematics that intersect with issues in Set.
Between 2019 and 2021, his most popular works were:
- The state-of-art of the generalizations of the Choquet integral: From aggregation and pre-aggregation to ordered directionally monotone functions (27 citations)
- The state-of-art of the generalizations of the Choquet integral: From aggregation and pre-aggregation to ordered directionally monotone functions (27 citations)
- Generalized CF1F2-integrals: From Choquet-like aggregation to ordered directionally monotone functions (19 citations)
In his most recent research, the most cited papers focused on:
- Algorithm
- Mathematical analysis
- Real number
His primary areas of study are Fuzzy rule, Fuzzy logic, Generalization, Pure mathematics and Theoretical computer science.
His work carried out in the field of Fuzzy rule brings together such families of science as Image processing, Choquet integral and Theory of computation.
He combines Fuzzy logic and Conjunction in his studies.
His studies in Generalization integrate themes in fields like Automorphism, Fuzzy automata, Boundary value problem and Nondeterministic algorithm.
His biological study deals with issues like Class, which deal with fields such as Associative property, Interval and Order.
His research integrates issues of Computational intelligence, Thresholding, Pairwise comparison, Interval valued and Entropy in his study of Theoretical computer science.
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