The optimal investment ratios for a set of stocks and other financial products can be obtained
by the conventional portfolio theory based on quantitative data such as returns and risks …

Because of the effectiveness in describing uncertain information, the hesitant fuzzy set (HFS)
has been well applied in decision making and portfolio selection. Although there have been …

Qualitative evaluation information is important for financial decision-making and investment
when quantitative data are unavailable. Although an alternative ranking is available, specific …

With respect to evaluation model for risk investment with hesitant fuzzy information, some
operational laws of hesitant fuzzy numbers are introduced. We utilize the hesitant fuzzy …

Qualitative portfolio selection approach is a suitable technique for obtaining an optimal
portfolio when quantitative data are unavailable and traditional portfolio models are …

As a useful tool, probabilistic hesitant fuzzy set is an enhanced version for hesitant fuzzy set.
It could be used to model the uncertainty very effectively. However, in probabilistic hesitant …

As an efficient decision-making tool, three-way decisions have been extensively studied in
diverse generalized fuzzy information systems. Among them, since hesitant fuzzy decision …

Generally, to reasonably make decision, all evaluation information should be aggregated,
and thus, the ranking and the optimal alternative can be obtained. However, in some …

Hesitant fuzzy set turns out to be a powerful tool in expressing uncertainty and vagueness.
Liao and Xu (J Intell Fuzzy Syst, 26: 1601–1617, 2014b) proposed a family of hesitant fuzzy …

Hesitant fuzzy sets (HFSs), an extension of fuzzy sets, are considered to be useful in solving
decision making problems where decision makers are unable to choose between several …