Mohamed Abdel-Basset

Mohamed Abdel-Basset received his B.Sc., M.Sc., and the Ph.D. in Operations Research from Faculty of Computers and Informatics, Zagazig University, Egypt. His current research interests are Optimization, Operations Research, Data Mining, Computational Intelligence, Applied Statistics, Decision support systems, Robust Optimization, Engineering Optimization, Multi-objective Optimization, Swarm Intelligence, Evolutionary Algorithms, and Artificial Neural Networks. He is working on the application of multi-objective and robust meta-heuristic optimization techniques. He is also an/a Editor/reviewer in different international journals and conferences. He has published more than 150 articles in international journals and conference proceedings. He holds the program chair in many conferences in the fields of decision making analysis, big data, optimization, complexity and the internet of things, as well as editorial collaboration in some journals of high impact.

Publications

Multi-Criteria Decision Making Models and Techniques: Neutrosophic Approaches
Mohamed Abdel-Basset, Abduallah Gamal, Florentin Smarandache. © 2024. 300 pages.
In the rising information technology trends, cost, time, delivery, space, quality, durability, and price are all paramount in addressing managerial decision-making complexities...
Neutrosophic Sets in Decision Analysis and Operations Research
Mohamed Abdel-Basset, Florentin Smarandache. © 2020. 470 pages.
In information technology, the concepts of cost, time, delivery, space, quality, durability, and price have gained greater importance in solving managerial decision-making...
Recommender Systems Using Collaborative Tagging
Latha Banda, Karan Singh, Le Hoang Son, Mohamed Abdel-Basset, Pham Huy Thong, Hiep Xuan Huynh, David Taniar. © 2020. 18 pages.
Collaborative tagging is a useful and effective way for classifying items with respect to search, sharing information so that users can be tagged via online social networking....