What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Algebra
His primary scientific interests are in Artificial intelligence, Fuzzy set, Fuzzy set operations, Fuzzy logic and Fuzzy classification.
His work on Intuitionistic fuzzy and Rule-based machine translation as part of general Artificial intelligence study is frequently linked to Term, bridging the gap between disciplines.
His Fuzzy set study incorporates themes from Context, Data mining, Multiple-criteria decision analysis, Bonferroni correction and Interval.
His Fuzzy logic research includes elements of Pythagorean theorem, Set, Mathematical optimization, Ranking and Element.
His Mathematical optimization research is multidisciplinary, incorporating perspectives in Multiplicative function, Weighted sum model, Decision theory and Operator.
Zeshui Xu has researched Fuzzy classification in several fields, including Fuzzy number, Discrete mathematics, Membership function and Algebra.
His most cited work include:
- Intuitionistic Fuzzy Aggregation Operators (1551 citations)
- Some geometric aggregation operators based on intuitionistic fuzzy sets (1441 citations)
- Hesitant fuzzy information aggregation in decision making (1015 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Fuzzy logic, Artificial intelligence, Fuzzy set, Preference and Mathematical optimization.
In his study, which falls under the umbrella issue of Fuzzy logic, Cluster analysis is strongly linked to Data mining.
His study on Probabilistic logic, Intuitionistic fuzzy and Rule-based machine translation is often connected to Term as part of broader study in Artificial intelligence.
Zeshui Xu studies Fuzzy set operations, a branch of Fuzzy set.
His research in Fuzzy set operations intersects with topics in Discrete mathematics and Membership function.
His work deals with themes such as Ranking and Operator, which intersect with Mathematical optimization.
He most often published in these fields:
- Fuzzy logic (36.01%)
- Artificial intelligence (30.03%)
- Fuzzy set (24.55%)
What were the highlights of his more recent work (between 2019-2021)?
- Probabilistic logic (20.74%)
- Fuzzy logic (36.01%)
- Artificial intelligence (30.03%)
In recent papers he was focusing on the following fields of study:
Zeshui Xu focuses on Probabilistic logic, Fuzzy logic, Artificial intelligence, Term and Preference.
His Probabilistic logic study also includes
- Rule-based machine translation together with Set,
- Process which is related to area like Data science.
His research in Fuzzy logic is mostly concerned with Fuzzy set.
Within one scientific family, Zeshui Xu focuses on topics pertaining to Hierarchy under Artificial intelligence, and may sometimes address concerns connected to Preference relation.
His studies deal with areas such as Consistency, Group, Matching and Big data as well as Preference.
His study looks at the relationship between Mathematical optimization and topics such as Measure, which overlap with Distance measures.
Between 2019 and 2021, his most popular works were:
- A survey of decision-making methods with probabilistic linguistic information: bibliometrics, preliminaries, methodologies, applications and future directions (69 citations)
- A survey of decision-making methods with probabilistic linguistic information: bibliometrics, preliminaries, methodologies, applications and future directions (69 citations)
- MULTIMOORA based MCDM model for site selection of car sharing station under picture fuzzy environment (59 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Algebra
Zeshui Xu spends much of his time researching Probabilistic logic, Fuzzy logic, Term, Artificial intelligence and Rule-based machine translation.
His Probabilistic logic study combines topics in areas such as Prospect theory, Data pre-processing, Extended Kalman filter, Matching and Algorithm.
Zeshui Xu is interested in Fuzzy set, which is a field of Fuzzy logic.
His work in the fields of Fuzzy set, such as Fuzzy data, intersects with other areas such as Mean value theorem.
His biological study spans a wide range of topics, including Machine learning and Natural language processing.
His study on Rule-based machine translation also encompasses disciplines like
- Preference which is related to area like Set and Consistency,
- State and Theoretical computer science most often made with reference to Hierarchy.
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