Ligang Zhou is affiliated with Anhui University in China and has an extensive record of research predominantly focused on decision sciences and computer science. The scientist's work bridges theoretical and applied aspects within these fields, particularly emphasizing management science, operations research, and artificial intelligence.
Their research integrates a wide range of subfields, including management science and operations research, artificial intelligence, computational theory and mathematics, statistics and probability, as well as control and systems engineering. This interdisciplinary approach supports investigations into complex decision-making problems and advanced computational methods.
Ligang Zhou's main research topics encompass multi-criteria decision making, rough sets and fuzzy logic, Bayesian modeling and causal inference, fuzzy systems and optimization, cognitive science and mapping, optimization and mathematical programming, and fuzzy logic and control systems. These topics demonstrate a consistent focus on mathematical and computational techniques for decision and system modeling.
The scientist has contributed significantly to several frequent publication venues, collaborating with journals that focus on artificial intelligence, fuzzy systems, and practical applications of expert systems. These venues include:
Ligang Zhou collaborates regularly with several co-authors, reflecting a network of research partnerships. Frequent collaborators include Qun Wu, Jinpei Liu, Huayou Chen, Feifei Jin, and Peng Wu. These co-authorships indicate active participation in group research endeavors related to decision-making and computational intelligence.
Among the recent published papers by Ligang Zhou are:
Qun Wu;Ligang Zhou;Ligang Zhou;Yu Chen;Yu Chen;Huayou Chen
Yingdong He;Huayou Chen;Ligang Zhou;Jinpei Liu
Ligang Zhou;Kin Keung Lai;Lean Yu
Ligang Zhou;Huayou Chen;Jinpei Liu
Li-Gang Zhou;Hua-You Chen
Jiaming Zhu;Peng Wu;Huayou Chen;Jinpei Liu
Ligang Zhou;Huayou Chen
Feifei Jin;Lidan Pei;Huayou Chen;Ligang Zhou
Li-Gang Zhou;Hua-you Chen
Huayou Chen;Ligang Zhou
Qun Wu;Peng Wu;Ligang Zhou;Ligang Zhou;Huayou Chen
Yingdong He;Huayou Chen;Zhen He;Ligang Zhou
Qun Wu;Xinwang Liu;Xinwang Liu;Jindong Qin;Weizhong Wang
Huayou Chen;Ligang Zhou;Bing Han
Unknown
Feifei Jin;Jinpei Liu;Ligang Zhou;Luis Martínez
José M. Merigó;Anna M. Gil-Lafuente;Li-Gang Zhou;Hua-You Chen
Ligang Zhou;Kin Keung Lai;Lean Yu
Ligang Zhou;Dong Lu;Hamido Fujita
Yingdong He;Huayou Chen;Ligang Zhou;Bing Han
Ligang Zhou;Zhifu Tao;Huayou Chen;Jinpei Liu
Li-Gang Zhou;Hua-You Chen;José M. Merigó;Anna M. Gil-Lafuente
Peng Wu;Ligang Zhou;Huayou Chen;Zhifu Tao
If you think any of the details on this page are incorrect, let us know.
Exploring Computer Science online opens up a range of degree and career options for students at different stages. If you’re looking for a fast route into the tech industry, consider enrolling in 2 year online degrees. These programs offer foundational skills and a quick pathway to entry-level jobs.
For those aiming to further specialize and maximize their career prospects, choosing the best masters degree to get in technology or data science is a smart long-term investment. Master’s programs can help you gain advanced technical skills and leadership positions in the field.
Affordability is a key concern for many students. Fortunately, there are plenty of cheapest online colleges offering computer science programs tailored to diverse needs and budgets.
Lastly, don’t let a low GPA hold you back. There are many online colleges that accept low gpa, providing opportunities for motivated learners who are ready to succeed.
Georgia Institute of Technology
University of Waterloo
Yale University
University of California, San Diego
University of Reading
Lund University
University of Iowa
University of Szeged
City University of Hong Kong
The University of Texas at Austin
University of Bath
Cedars-Sinai Medical Center
Stanford University
Karlsruhe Institute of Technology
King's College London
Université Laval
