Abstract The arrival of Big Data era has brought large, complex, and growing data generated
from numerous sources. Due to the power in felicitous decision making based on diverse …

The advent of Web 2.0 and its continuous growth has yielded enormous amounts of freely
available user-generated information. Within this information, it is easy to find subjective …

Decision making models are constrained by taking the expert evaluations with pre-defined
numerical or linguistic terms. We claim that the use of sentiment analysis will allow decision …

Sentiment analysis on social networks mines users' opinions, emotions, and attitudes to
derive useful insights into community opinions and can improve the sales strategies of e …

In this paper, we investigate how the agent's self-confidence level and the node degree
influence the consensus opinion formation and the consensus convergence speed in the …

With the rapid development of social media, reliable information released by the public on
social media can provide important decision-making support. Therefore, the consideration of …

Evaluating the quality of health care systems usually entails the examination of objective
variables (waiting time, patients per doctor, etc.). Nonetheless, other subjective variables …

Social media has played an increasingly important role in decision-making for public issues,
and the concerns of the public, an important reference for which is in social media, have …

There exist a high demand to provide explainability to artificial intelligence systems, where
decision making models are included. This paper focuses on crowd decision making using …

Multicriteria decision-making process explicitly evaluates multiple conflicting criteria in
decision making. The conventional decision-making approaches assumed that each agent …