The society in the digital transformation era demands new decision schemes such as e-
democracy or based on social media. Such novel decision schemes require the participation …

Aiming at multiattribute decision-making (MADM) problems with probabilistic linguistic term
sets (PLTSs), and considering the effective rationality of a decision-maker (DM) in complex …

Probabilistic linguistic term set (PLTS), which consists of multiple linguistic terms and their
probabilities, has been proposed to tackle qualitative information in informs of linguistic …

In an increasingly complex and uncertain decision-making environment, large-scale group
decision-making (LSGDM) can offer a more efficient method, allowing a large number of …

Large-scale group decision-making (LSGDM) is one of the main open problems where a
decision is made by many different results. Moreover, there is also a problem with how to …

Elderly care has become a vital livelihood issue as the aging population continues to grow.
Generally, integrated care of older people (ICOPE) involves doctors, nurses, and family …

Consensus analysis is necessary for large-scale group decision making (LSGDM) for
ensuring reasonable decision results. This paper offers a new method for LSGDM with …

This work introduces a data-driven approach based on k-means clustering with datasets
elicited under a Picture fuzzy set (PFS) environment. With the vision, mission, and goals …

In large group decision-making, participators with different knowledge structures,
backgrounds, and other characteristics are unlikely to accurately evaluate alternatives. For …

Clustering is a basic task of data analysis and decision making. Recently, graph convolution
network (GCN) based deep clustering frameworks have produced the state-of-the-art …