Assistant Professor Wojciech Sałabun
West Pomeranin University of Technology, PolandInnovations in Decision-Making: Advanced Tools in the MCDA
Abstract:
Regarded as a specialized branch of operations research, Multi-Criteria Decision Analysis (MCDA) is focused on the explicit evaluation of multiple, often conflicting, criteria in decision-making processes. This methodology is particularly pertinent in complex scenarios where decision-makers are required to balance a variety of objectives that may be at odds with one another. MCDA encompasses a range of techniques and tools designed to structure the decision-making process, assisting those involved in discerning and weighing different factors to arrive at informed and balanced choices. The forthcoming presentation will delve into the most recent developments and innovations in MCDA, developed by Dr. Sałabun's research team, discussing the latest research breakthroughs, new and innovative methodologies, and the advent of novel tools.
Biography:
Wojciech Sałabun earned his Master's and Ph.D. degrees in Information Technology and Computer Science from the West Pomeranian University of Technology, Szczecin, Poland, in 2010 and 2018, respectively. Since 2019, he has served as an Assistant Professor and leads the Research Team on Intelligent Decision Support Systems at the same institution. In addition to his academic role, he is the Institute Professor at the National Institute of Telecommunications - the State Research Institute in Warsaw. His expertise primarily lies in multi-criteria decision support, particularly in contexts of uncertainty. Wojciech Sałabun holds editorial positions at the International Journal of Knowledge-Based and Intelligent Engineering Systems and is an associate editor at Heliyon, SoftwareX, and IEEE Access. An esteemed author, he has contributed to over 150 scientific papers and numerous peer reviews, establishing a significant presence in the academic community. His research interests span across soft computing, multi-criteria decision-making (MCDM), and innovative methods in artificial intelligence. He brings a wealth of knowledge and experience to his role as an associate editor, guiding the direction of research in these fields.
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