What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Marketing
Kwai-Sang Chin mainly focuses on Ranking, Data envelopment analysis, Process management, Analytic hierarchy process and Artificial intelligence.
Kwai-Sang Chin has included themes like Selection, Econometrics and Operations research in his Data envelopment analysis study.
His research integrates issues of Failure mode and effects analysis and Risk management in his study of Operations research.
His research in Process management intersects with topics in Total quality management, Quality, Competition and Process.
His Analytic hierarchy process study combines topics in areas such as New product development, Communications management and Critical success factor.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Genetic algorithm, Machine learning and Demand forecasting.
His most cited work include:
- Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean (397 citations)
- The evidential reasoning approach for MADA under both probabilistic and fuzzy uncertainties (276 citations)
- A NEW METHOD FOR MEASURING UNCERTAINTY AND FUZZINESS IN ROUGH SET THEORY (251 citations)
What are the main themes of his work throughout his whole career to date?
Kwai-Sang Chin mainly investigates New product development, Process management, Operations research, Process and Analytic hierarchy process.
The New product development study combines topics in areas such as Product design and Manufacturing engineering.
His Process management research is multidisciplinary, incorporating perspectives in Quality, Operations management, Quality management and Competitive advantage.
In his research, Econometrics is intimately related to Data envelopment analysis, which falls under the overarching field of Operations research.
His study in Process focuses on Quality function deployment in particular.
His Analytic hierarchy process study incorporates themes from Decision support system, Pairwise comparison and Knowledge management, Critical success factor.
He most often published in these fields:
- New product development (13.78%)
- Process management (13.33%)
- Operations research (12.44%)
What were the highlights of his more recent work (between 2018-2021)?
- Operations research (12.44%)
- Fuzzy logic (9.33%)
- Quality function deployment (10.22%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Operations research, Fuzzy logic, Quality function deployment, Operator and Mathematical optimization.
He combines subjects such as Context and Local search with his study of Operations research.
In general Fuzzy logic, his work in Fuzzy set and Fuzzy control system is often linked to Measure linking many areas of study.
The study incorporates disciplines such as Dynamic programming, Data mining and Cluster analysis, Fuzzy clustering in addition to Fuzzy set.
The concepts of his Quality function deployment study are interwoven with issues in Service quality, Risk analysis and Transport engineering.
His study in Mathematical optimization is interdisciplinary in nature, drawing from both Artificial neural network and Reinforcement learning.
Between 2018 and 2021, his most popular works were:
- Fostering linguistic decision-making under uncertainty: A proportional interval type-2 hesitant fuzzy TOPSIS approach based on Hamacher aggregation operators and andness optimization models (40 citations)
- Hotel selection driven by online textual reviews: Applying a semantic partitioned sentiment dictionary and evidence theory (24 citations)
- Sustainable building material selection: A QFD- and ELECTRE III-embedded hybrid MCGDM approach with consensus building (23 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Management
Kwai-Sang Chin spends much of his time researching Operator, Failure mode and effects analysis, TOPSIS, Context and Mathematical optimization.
His study in Operator intersects with areas of studies such as Fuzzy control system, Measure, Fuzzy set, Term and Fuzzy logic.
The various areas that he examines in his Failure mode and effects analysis study include Ranking, Intuitionistic fuzzy and Maximization.
His TOPSIS research is included under the broader classification of Operations research.
His research in Mathematical optimization focuses on subjects like Computational intelligence, which are connected to Process.
His Quality function deployment study integrates concerns from other disciplines, such as Service quality, Service and Analytic hierarchy process.
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.
