What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Machine learning
His primary areas of investigation include Dominance-based rough set approach, Rough set, Artificial intelligence, Data mining and Decision rule.
The various areas that Dun Liu examines in his Dominance-based rough set approach study include Fuzzy number, Fuzzy set, Weighted sum model and Decision analysis.
The Decision analysis study combines topics in areas such as Decision tree and Optimal decision.
His work carried out in the field of Rough set brings together such families of science as Algorithm and Decision theory.
His Artificial intelligence study deals with Machine learning intersecting with Empirical research.
His Data mining research is multidisciplinary, incorporating perspectives in Mathematical optimization and Missing data.
His most cited work include:
- Three-way Investment Decisions with Decision-theoretic Rough Sets (156 citations)
- A novel three-way decision model based on incomplete information system (146 citations)
- Probabilistic model criteria with decision-theoretic rough sets (134 citations)
What are the main themes of his work throughout his whole career to date?
Dun Liu mainly focuses on Rough set, Data mining, Dominance-based rough set approach, Artificial intelligence and Mathematical optimization.
Dun Liu interconnects Reduction and Knowledge extraction in the investigation of issues within Rough set.
His study in the field of Granular computing is also linked to topics like Incremental build model.
His Dominance-based rough set approach study incorporates themes from Algorithm, Decision theory, Fuzzy set and Decision rule.
His work deals with themes such as Machine learning, Missing data and Pattern recognition, which intersect with Artificial intelligence.
His Mathematical optimization research incorporates elements of Fuzzy number, Conditional probability, Empirical research and Bayes estimator.
He most often published in these fields:
- Rough set (67.09%)
- Data mining (50.63%)
- Dominance-based rough set approach (35.44%)
What were the highlights of his more recent work (between 2019-2021)?
- Process (6.33%)
- Data mining (50.63%)
- Granular computing (13.92%)
In recent papers he was focusing on the following fields of study:
Dun Liu mostly deals with Process, Data mining, Granular computing, Mathematical optimization and Fuzzy logic.
Dun Liu performs integrative study on Process and Rough set.
Specifically, his work in Rough set is concerned with the study of Reduct.
Data mining is intertwined with Granularity and Structure in his study.
The concepts of his Mathematical optimization study are interwoven with issues in Ranking and Reciprocal.
Pairwise comparison, Decision analysis, Computational problem and Fuzzy concept is closely connected to Conditional probability in his research, which is encompassed under the umbrella topic of Fuzzy logic.
Between 2019 and 2021, his most popular works were:
- Risk appetite dual hesitant fuzzy three-way decisions with TODIM (42 citations)
- A matrix factorization based dynamic granularity recommendation with three-way decisions (21 citations)
- Three-way decisions: beyond rough sets and granular computing (14 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Machine learning
The scientist’s investigation covers issues in Data mining, Dual, Granularity, Matrix decomposition and MovieLens.
His study in the field of Granular computing and Rough set also crosses realms of Process and Structure.
Dual combines with fields such as Operations research, Decision analysis, Fuzzy logic, Pairwise comparison and Bounded rationality in his work.
His work on Operations research is being expanded to include thematically relevant topics such as Conditional probability.
Granularity is connected with Singular value decomposition, Recommender system, Reliability and Non-negative matrix factorization in his study.
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