What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Marketing
His main research concerns Empirical research, Operations research, Fuzzy logic, Data mining and Weighting.
The concepts of his Empirical research study are interwoven with issues in Operating cost, Fuzzy set, Scheduling and Entropy.
His Operations research study incorporates themes from Transportation planning, Competitive advantage and Cost of operation.
Fuzzy number and Fuzzy classification are among the areas of Fuzzy logic where the researcher is concentrating his efforts.
His Data mining research includes themes of Kansei engineering, Grey relational analysis and Artificial intelligence.
His Weighting research includes a combination of various areas of study, such as Decision support system, TOPSIS and Mathematical optimization.
His most cited work include:
- Inter-company comparison using modified TOPSIS with objective weights (646 citations)
- Trust and knowledge sharing in green supply chains (352 citations)
- Fuzzy multicriteria analysis for performance evaluation of bus companies (212 citations)
What are the main themes of his work throughout his whole career to date?
Artificial intelligence, Fuzzy logic, Operations research, Empirical research and Data mining are his primary areas of study.
His research in Artificial intelligence intersects with topics in Matching, Machine learning, Information retrieval and Natural language processing.
His studies in Fuzzy logic integrate themes in fields like TOPSIS, Mathematical optimization and Cluster analysis.
His Operations research research is multidisciplinary, incorporating elements of Decision support system and Selection.
Chung-Hsing Yeh conducts interdisciplinary study in the fields of Empirical research and Weighting through his research.
He works mostly in the field of Data mining, limiting it down to concerns involving Office chair and, occasionally, Sample.
He most often published in these fields:
- Artificial intelligence (25.56%)
- Fuzzy logic (26.46%)
- Operations research (20.63%)
What were the highlights of his more recent work (between 2012-2021)?
- Empirical research (17.49%)
- Artificial intelligence (25.56%)
- Multiple-criteria decision analysis (6.28%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Empirical research, Artificial intelligence, Multiple-criteria decision analysis, Fuzzy cognitive map and Management science.
He has researched Empirical research in several fields, including Environmental economics, Risk analysis and Operations research.
His biological study spans a wide range of topics, including Performance indicator and Microgrid.
Chung-Hsing Yeh combines subjects such as Machine learning and Natural language processing with his study of Artificial intelligence.
Within one scientific family, he focuses on topics pertaining to Selection under Multiple-criteria decision analysis, and may sometimes address concerns connected to Defuzzification, Ranking, Accounting method, Multi criteria decision and Intelligent decision support system.
His Fuzzy cognitive map study is concerned with the larger field of Fuzzy logic.
Between 2012 and 2021, his most popular works were:
- City sustainability evaluation using multi-criteria decision making with objective weights of interdependent criteria (54 citations)
- How will the use of graphics affect visual aesthetics? A user-centered approach for web page design (54 citations)
- A new method selection approach for fuzzy group multicriteria decision making (50 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Statistics
Chung-Hsing Yeh mainly focuses on Empirical research, Management science, Enterprise resource planning, Knowledge management and Fuzzy cognitive map.
His work carried out in the field of Empirical research brings together such families of science as Environmental economics and Process.
His study looks at the relationship between Enterprise resource planning and fields such as Plan, as well as how they intersect with chemical problems.
His study with Fuzzy cognitive map involves better knowledge in Fuzzy logic.
Sustainability organizations and Sustainable planning are fields of study that overlap with his Fuzzy logic research.
He usually deals with Multiple-criteria decision analysis and limits it to topics linked to Weighted product model and Machine learning.
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