D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Mathematics D-index 30 Citations 5,294 74 World Ranking 2088 National Ranking 102
Engineering and Technology D-index 32 Citations 5,342 79 World Ranking 4573 National Ranking 506

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Algebra

Wei-Zhi Wu mostly deals with Rough set, Discrete mathematics, Reduct, Data mining and Decision rule. His Rough set research is mostly focused on the topic Dominance-based rough set approach. His work carried out in the field of Discrete mathematics brings together such families of science as Fuzzy set operations, Type-2 fuzzy sets and systems, Fuzzy set and Algebra.

His Type-2 fuzzy sets and systems research is multidisciplinary, relying on both Defuzzification and Fuzzy subalgebra. His Decision rule research integrates issues from Association rule learning, Decision table, Optimal decision and Knowledge acquisition. Wei-Zhi Wu combines subjects such as Space, Universe, Approximation operators and Equivalence relation with his study of Binary relation.

His most cited work include:

  • Generalized fuzzy rough sets (491 citations)
  • Constructive and axiomatic approaches of fuzzy approximation operators (405 citations)
  • Approaches to knowledge reduction based on variable precision rough set model (345 citations)

What are the main themes of his work throughout his whole career to date?

Wei-Zhi Wu mainly investigates Rough set, Discrete mathematics, Data mining, Fuzzy set operations and Fuzzy set. His work in Rough set tackles topics such as Reduction which are related to areas like Mathematical optimization and Distribution. His Discrete mathematics research incorporates themes from Space, Fuzzy logic, Pure mathematics and Algebra.

His Data mining research is multidisciplinary, incorporating perspectives in Theoretical computer science and Artificial intelligence, Knowledge acquisition. The various areas that Wei-Zhi Wu examines in his Fuzzy set operations study include Fuzzy number and Fuzzy classification. His Decision table research includes elements of Optimal decision and Decision rule.

He most often published in these fields:

  • Rough set (78.47%)
  • Discrete mathematics (38.89%)
  • Data mining (39.58%)

What were the highlights of his more recent work (between 2016-2021)?

  • Rough set (78.47%)
  • Data mining (39.58%)
  • Fuzzy logic (17.36%)

In recent papers he was focusing on the following fields of study:

His main research concerns Rough set, Data mining, Fuzzy logic, Granular computing and Artificial intelligence. His Rough set research includes elements of Reduction methods, Theoretical computer science and Algebra. Wei-Zhi Wu has researched Data mining in several fields, including Ranking and Computational intelligence.

Wei-Zhi Wu has included themes like Mathematical structure, Lattice and Pure mathematics in his Fuzzy logic study. Wei-Zhi Wu interconnects Fuzzy number, Defuzzification, Fuzzy classification and Fuzzy set operations in the investigation of issues within Pure mathematics. His Fuzzy number study combines topics in areas such as Discrete mathematics and Dominance-based rough set approach.

Between 2016 and 2021, his most popular works were:

  • On rule acquisition in incomplete multi-scale decision tables (62 citations)
  • Three-way concept learning based on cognitive operators (58 citations)
  • Novel fuzzy rough set models and corresponding applications to multi-criteria decision-making (40 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Algebra

His primary scientific interests are in Data mining, Fuzzy logic, Granular computing, Rough set and Multi criteria decision. His work on Knowledge extraction as part of general Data mining study is frequently linked to Context, bridging the gap between disciplines. The concepts of his Granular computing study are interwoven with issues in Mathematical structure, Information distance, Fuzzy information system and Lattice.

Wei-Zhi Wu combines subjects such as Generalization, Scale and Decision model with his study of Rough set. His Multi criteria decision research is multidisciplinary, incorporating elements of Ranking and Fuzzy rough sets. His research in Reduct intersects with topics in Basis, Fuzzy set, Measure, Approximation algorithm and Relevance.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Generalized fuzzy rough sets

Wei-Zhi Wu;Ju-Sheng Mi;Wen-Xiu Zhang.
Information Sciences (2003)

690 Citations

Constructive and axiomatic approaches of fuzzy approximation operators

Wei-Zhi Wu;Wen-Xiu Zhang.
Information Sciences (2004)

517 Citations

Approaches to knowledge reduction based on variable precision rough set model

Ju-Sheng Mi;Wei-Zhi Wu;Wen-Xiu Zhang.
Information Sciences (2004)

493 Citations

Knowledge acquisition in incomplete information systems: A rough set approach

Yee Leung;Wei-Zhi Wu;Wei-Zhi Wu;Wen-Xiu Zhang.
European Journal of Operational Research (2006)

389 Citations

Granular Computing and Knowledge Reduction in Formal Contexts

Wei-Zhi Wu;Yee Leung;Ju-Sheng Mi.
IEEE Transactions on Knowledge and Data Engineering (2009)

339 Citations

Neighborhood operator systems and approximations

Wei-Zhi Wu;Wei-Zhi Wu;Wen-Xiu Zhang.
Information Sciences (2002)

260 Citations

Knowledge reduction in random information systems via Dempster-Shafer theory of evidence

Wei-Zhi Wu;Mei Zhang;Huai-Zu Li;Ju-Sheng Mi.
Information Sciences (2005)

254 Citations

On characterizations of ( I,T)-fuzzy rough approximation operators

Wei-Zhi Wu;Yee Leung;Ju-Sheng Mi.
Fuzzy Sets and Systems (2005)

250 Citations

Approaches to knowledge reductions in inconsistent systems

Wen-Xiu Zhang;Ju-Sheng Mi;Ju-Sheng Mi;Wei-Zhi Wu;Wei-Zhi Wu.
International Journal of Intelligent Systems (2003)

244 Citations

A rough set approach for the discovery of classification rules in interval-valued information systems

Yee Leung;Manfred M. Fischer;Wei-Zhi Wu;Ju-Sheng Mi.
International Journal of Approximate Reasoning (2008)

229 Citations

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