Decision-makers encounter heightened challenges in analyzing risks due to the intricate
nature and uncertainty inherent in complex product delivery scenarios. To address these …

In an increasingly complex decision-making environment, the decision information we
obtain contains the decision makers' professional cognition, psychological preference, risk …

In group decision-making (GDM), there exist cognitive and realistic uncertainties and
humans exhibit hesitation and ambiguity. Using probabilistic linguistic term sets (PLTSs) can …

Nowadays, renewable energy projects have constantly been emphasized and the
assessment of potential risks has been considered as an indispensable activity prior to …

The impact of COVID-19 on the global outbreak of supply chain is enormous. It is crucial for
governments to take policy recommendations to enhance the supply chain resilience to …

Generating collective opinion based on probability distribution function aggregation
occupies crucial roles in accomplishing probabilistic risk analysis, probabilistic-forecast …

The seamless integration of computerized methodologies into industrial engineering
problem-solving is pivotal for optimizing efficiency. In the specific domain of multi-attribute …

In most existing linguistic distribution multiple criteria group decision-making (MCGDM)
models, the sample size of group linguistic distribution assessment (LDA) is often neglected …

Selecting an optimal product design scheme requires considering multiple criteria and
engaging the wisdom of crowds. However, existing studies regarding design selection rarely …

With consideration for the extensive resources consumption and environmental degradation
being on the rise today, implementing green development strategy to pursue both …