What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Data mining
- Marketing
His scientific interests lie mostly in Failure mode and effects analysis, Data mining, Fuzzy logic, Process and Reliability engineering.
His Failure mode and effects analysis study combines topics in areas such as Ranking, Vagueness and Risk management tools, Risk management.
The study incorporates disciplines such as Risk analysis and TOPSIS in addition to Risk management.
His Data mining study incorporates themes from Linear programming and Failure mode, effects, and criticality analysis.
In the subject of general Fuzzy logic, his work in Fuzzy set and VIKOR method is often linked to Risk factor, thereby combining diverse domains of study.
His research in Fuzzy set intersects with topics in Multi criteria decision and Multiple-criteria decision analysis.
His most cited work include:
- Review: Risk evaluation approaches in failure mode and effects analysis: A literature review (423 citations)
- Risk evaluation in failure mode and effects analysis with extended VIKOR method under fuzzy environment (230 citations)
- A novel approach for failure mode and effects analysis using combination weighting and fuzzy VIKOR method (177 citations)
What are the main themes of his work throughout his whole career to date?
Failure mode and effects analysis, Fuzzy logic, Multiple-criteria decision analysis, Ranking and Interval are his primary areas of study.
The various areas that Hu-Chen Liu examines in his Failure mode and effects analysis study include Data mining, Process and Risk management.
The study incorporates disciplines such as Risk management tools, Grey relational analysis, Linear programming, Analytic hierarchy process and Failure mode, effects, and criticality analysis in addition to Data mining.
His Fuzzy logic research focuses on Risk analysis and how it connects with Management science.
His Multiple-criteria decision analysis research incorporates elements of Uncertain data, Selection and Decision analysis.
The Ranking study combines topics in areas such as Quality function deployment and Cluster analysis.
He most often published in these fields:
- Failure mode and effects analysis (41.38%)
- Fuzzy logic (25.29%)
- Multiple-criteria decision analysis (27.59%)
What were the highlights of his more recent work (between 2019-2021)?
- Fuzzy logic (25.29%)
- Failure mode and effects analysis (41.38%)
- Weighting (20.11%)
In recent papers he was focusing on the following fields of study:
Hu-Chen Liu mostly deals with Fuzzy logic, Failure mode and effects analysis, Weighting, Fuzzy set and Reliability engineering.
The concepts of his Fuzzy logic study are interwoven with issues in Risk analysis and Industrial engineering.
His work in Failure mode and effects analysis tackles topics such as Cluster analysis which are related to areas like Data envelopment analysis and Data mining.
The Fuzzy set study which covers Knowledge representation and reasoning that intersects with Natural language processing.
Hu-Chen Liu has included themes like Quality and Quality function deployment in his Reliability engineering study.
Hu-Chen Liu has researched Quality in several fields, including Multiple-criteria decision analysis and Selection.
Between 2019 and 2021, his most popular works were:
- Improving quality function deployment analysis with the cloud MULTIMOORA method (25 citations)
- Improving quality function deployment analysis with the cloud MULTIMOORA method (25 citations)
- A large group linguistic Z-DEMATEL approach for identifying key performance indicators in hospital performance management (21 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Marketing
The scientist’s investigation covers issues in Reliability engineering, Weighting, Fuzzy logic, Failure mode and effects analysis and Field.
Hu-Chen Liu conducted interdisciplinary study in his works that combined Reliability engineering and Cloud computing.
His Fuzzy logic research incorporates themes from Projection method, Computational intelligence, Risk management and Axiomatic design.
His Failure mode and effects analysis study frequently links to related topics such as Risk analysis.
Field is connected with Management science, Selection and Supplier evaluation in his research.
In his work, Competitive advantage and Order is strongly intertwined with Supply chain management, which is a subfield of Management science.
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.
