Madhumangal Pal is a researcher affiliated with Vidyasagar University in India. Their research primarily intersects the fields of Decision Sciences and Computer Science, with significant contributions to Management Science and Operations Research as well as Computational Theory and Mathematics. Their work spans other subfields including Control and Systems Engineering, Statistics and Probability, and Artificial Intelligence.
The researcher's areas of focus include Multi-Criteria Decision Making, Optimization and Mathematical Programming, Fuzzy Systems and Optimization, Fuzzy and Soft Set Theory, Graph Labeling and Dimension Problems, Rough Sets and Fuzzy Logic, and Fuzzy Logic and Control Systems.
Madhumangal Pal has authored numerous papers, with several recent publications illustrating their research focus and collaboration network. Selected papers include:
The venues where Madhumangal Pal frequently publishes research include:
Collaboration plays a notable role in their research output. Frequent co-authors include:
Kousik Das;Sovan Samanta;Madhumangal Pal
Chiranjibe Jana;Tapan Senapati;Madhumangal Pal;Ronald R. Yager
Sovan Samanta;Madhumangal Pal
Sovan Samanta;Madhumangal Pal
Chiranjibe Jana;Madhumangal Pal;Jian-qiang Wang
Hossein Rashmanlou;Sovan Samanta;Madhumangal Pal;Rajab Ali Borzooei
Chiranjibe Jana;G. Muhiuddin;Madhumangal Pal
Madhumangal Pal
Sk. Md. Nayeem;Madhumangal Pal
Sovan Samanta;Madhumangal Pal
Hossein Rashmanlou;Sovan Samanta;Madhumangal Pal;Rajab Ali Borzooei
Chiranjibe Jana;Tapan Senapati;Madhumangal Pal
Sovan Samanta;Madhumangal Pal;Anita Pal
Sovan Samanta;Muhammad Akram;Madhumangal Pal
Tarasankar Pramanik;Sovan Samanta;Madhumangal Pal
Sovan Samanta;Tarasankar Pramanik;Madhumangal Pal
Sankar Sahoo;Madhumangal Pal
Madhumangal Pal;Sovan Samanta;Ganesh Ghorai
Amiya K. Shyamal;Madhumangal Pal
Sovan Samanta;Madhumangal Pal
Chiranjibe Jana;Madhumangal Pal;Jian-qiang Wang
Tarasankar Pramanik;Sovan Samanta;Madhumangal Pal;Sukumar Mondal
If you think any of the details on this page are incorrect, let us know.
Pursuing Mathematics in the USA opens doors to diverse career options, many of which benefit from complementary studies in business and finance. For students seeking to advance their leadership skills alongside analytical expertise, exploring easy online MBA programs can provide a flexible, manageable path to gaining essential business knowledge without overwhelming schedules.
Cost is often a major consideration, and those looking to balance affordability with quality may find programs like the cheapest DBA online offerings appealing. These programs help seasoned professionals deepen their expertise in data and business analysis at a reduced financial burden.
For finance-focused mathematicians, the cheapest online masters in finance can serve as a strategic choice to build specialized skills in financial modeling, risk management, and investment analytics.
Additionally, for those eager to accelerate their career progression, accelerated online MBA programs offer an efficient route to earning advanced business credentials quickly, complementing a strong mathematical background with essential management expertise.
Peking University
University of Freiburg
Missouri University of Science and Technology
The Open University
Wuhan University
Feng Chia University
University of Zaragoza
Humboldt-Universität zu Berlin
University of Ottawa
University of California, Berkeley
National Cheng Kung University
University of Western Ontario
University of Leeds
University of Michigan–Ann Arbor
National Institutes of Health
University of Surrey