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Št. zadetkov: 3
Pythagorean linguistic information-based green supplier selection using quantum-based group decision-making methodology and the MULTIMOORA approach
Prasenjit Mandal, Leo Mršić, Antonios Kalampakas, Tofigh Allahviranloo, Sovan Samanta
Izvirni znanstveni članek
Oznake: Pitagorejske lingvistične množice;Kvantna teorija verjetnosti;napredna metoda večkriterijskega odločanja;Pythagorean linguistic set;MULTIMOORA;Quantum probability theory;MCGDM;
The selection of environmentally sustainable suppliers has been a significant challenge in management decision-making (DM). Multicriteria group decision-making (MCGDM) is a ranking methodology used to select suppliers, but it is complex and influenced by the different opinions of decision-makers. On ...
Leto: 2025 Vir: Digitalni repozitorij raziskovalnih organizacij Slovenije
Multi-criteria consensus-based group decision making with prospect-regret TOPSIS for human-AI tool selection under linguistic Z-numbers
Prasenjit Mandal, Leo Mršić, Antonios Kalampakas, Tofigh Allahviranloo, Sovan Samanta
Izvirni znanstveni članek
Oznake: multi-criteria group decision making;Consensus process;Linguistic Z number;Artificial intelligence;
The rapid advances in artificial intelligence (AI) and machine learning have transformed computer technology. Now, computers can learn and adapt autonomously, make sound judgments, and create environments in which humans and AI work in harmony. Analytical frameworks that can process data with uncert ...
Leto: 2026 Vir: Digitalni repozitorij raziskovalnih organizacij Slovenije
Three-way multi-criteria decision-making with linguistic information using prospect-regret theory and generalised TODIM for heart failure data analysis
Prasenjit Mandal, Leo Mršić, Antonios Kalampakas, Tofigh Allahviranloo, Sovan Samanta
Izvirni znanstveni članek
Oznake: Prospect theory;Linguistic Z number;Regret theory;Three-way decision making;Heart failure;
Cardiovascular disease is a leading global cause of mortality, and timely monitoring can help assess its severity. Electronic medical records contain information on patients’ symptoms, physical characteristics, and clinical laboratory test results. These data can be used in biostatistical analysis t ...
Leto: 2026 Vir: Digitalni repozitorij raziskovalnih organizacij Slovenije
Št. zadetkov: 3
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