Most traditional decision making methods cannot deal with intensive uncertain data that
varies with time effectively, and they only derive the static risk analysis by different …

Artificial intelligence (AI) is the most popular technology for searching the natural essence of
human beings' intelligence. AI is influencing the paradigm of the enterprise management …

Abstract The Bayesian Network (BN) is one of the most effective theoretical models in the
fields of uncertain reasoning. With the nonlinear evolution of events and the complexity of …

With the gradual intensification of global energy shortage and the improvement of energy
conservation and environmental protection requirements, the acquisition and utilization of …

With the increasing application of (probabilistic) hesitant fuzzy sets in decision-making, the
existing integrated methods of hesitant fuzzy information have become too complicated to …

For decision-making in a highly uncertain environment, experts may be unable to accurately
express or even neglect some deep latent uncertain information, leading to decision bias …

Engineering management plays a significant part in project construction, and it is a process
involved with making decision under uncertainty. When decision makers are hesitant to …

Hesitant fuzzy set is a powerful and effective tool to express uncertain information in multi-
attribute decision-making (MADM) process, as it permits the membership degree of an …

Hesitant fuzzy set (HFS) has been a very popular and useful tool to express the uncertainty
of decision makers (DMs) when they could not give a determination among several different …

Nowadays, various uncertain information can be found in real world, and it is imperative to
explore viable countermeasures for uncertain decision-making problems. Hesitant fuzzy set …