His primary areas of study are Data mining, Artificial intelligence, Group analysis, Decision analysis and Machine learning. As a member of one scientific family, he mostly works in the field of Data mining, focusing on Quality of service and, on occasion, Customer satisfaction and Similarity. His work in Artificial intelligence is not limited to one particular discipline; it also encompasses Econometrics.
The Group analysis study combines topics in areas such as Attributive, Process, Selection and Identification. He interconnects Fuzzy logic, Electrical load and Cluster analysis in the investigation of issues within Process. His studies deal with areas such as Nonlinear programming and Problem domain as well as Selection.
Shanlin Yang spends much of his time researching Mathematical optimization, Artificial intelligence, Real-time computing, Job shop scheduling and Field. Shanlin Yang has included themes like Space and Computational intelligence in his Mathematical optimization study. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Data mining, Identification, Machine learning, Process and Pattern recognition.
His Data mining study combines topics in areas such as Mains electricity and Support vector machine. His study looks at the relationship between Machine learning and fields such as Decision analysis, as well as how they intersect with chemical problems. Shanlin Yang combines subjects such as Group analysis and Selection with his study of Process.
His main research concerns Mathematical optimization, Group decision-making, Computational intelligence, Job shop scheduling and Field. His work on Dynamic programming as part of his general Mathematical optimization study is frequently connected to Set cover problem, thereby bridging the divide between different branches of science. His Group decision-making research is multidisciplinary, incorporating elements of Preference, Data mining, Ranking, Decision problem and Operations research.
The concepts of his Field study are interwoven with issues in Algorithm, Optimization problem and Real-time computing. He has researched Selection in several fields, including Preference relation, Preference, Artificial intelligence, Machine learning and Process. His Machine learning research incorporates elements of Multiple-criteria decision analysis and Interval.
Shanlin Yang mostly deals with Group decision-making, Mathematical optimization, Operations research, Reliability and Decision problem. His Group decision-making research is multidisciplinary, relying on both Semantics, Style, Preference and Pairwise comparison. His research on Mathematical optimization focuses in particular on Hybrid algorithm.
His Operations research research includes elements of Key, Decision support system, Rank correlation and Measure. His studies in Reliability integrate themes in fields like Variation, Group analysis and Process. His work deals with themes such as Context, Preference, Consistency, Probabilistic logic and Fuzzy logic, which intersect with Decision problem.
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.
A review of electric load classification in smart grid environment
Kai-le Zhou;Shan-lin Yang;Chao Shen.
Renewable & Sustainable Energy Reviews (2013)
Energy Internet: The business perspective
Kaile Zhou;Shanlin Yang;Zhen Shao.
Applied Energy (2016)
On electricity consumption and economic growth in China
Chi Zhang;Kaile Zhou;Shanlin Yang;Zhen Shao.
Renewable & Sustainable Energy Reviews (2017)
An improved boosting based on feature selection for corporate bankruptcy prediction
Gang Wang;Jian Ma;Shanlin Yang.
Expert Systems With Applications (2014)
Blockchain-Based Medical Records Secure Storage and Medical Service Framework
Yi Chen;Shuai Ding;Zheng Xu;Handong Zheng.
Journal of Medical Systems (2019)
Combining QoS prediction and customer satisfaction estimation to solve cloud service trustworthiness evaluation problems
Shuai Ding;Shanlin Yang;Youtao Zhang;Changyong Liang.
Knowledge Based Systems (2014)
The group consensus based evidential reasoning approach for multiple attributive group decision analysis
Chao Fu;Chao Fu;Shan-Lin Yang;Shan-Lin Yang.
European Journal of Operational Research (2010)
An evidential reasoning based consensus model for multiple attribute group decision analysis problems with interval-valued group consensus requirements
Chao Fu;Chao Fu;Shanlin Yang;Shanlin Yang.
European Journal of Operational Research (2012)
Demand side management in China: The context of China’s power industry reform
Kaile Zhou;Shanlin Yang.
Renewable & Sustainable Energy Reviews (2015)
Residential electricity consumption behavior: Influencing factors, related theories and intervention strategies
Zhifeng Guo;Kaile Zhou;Chi Zhang;Xinhui Lu.
Renewable & Sustainable Energy Reviews (2018)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: