This article provides a brief tour through the main fuzzy and linguistic decision-making
trends, studies, methodologies, and models developed in the last 50 years. Fuzzy and …

Decision making is a core area of different research pursuits such as engineering, both
theory and practice, management, medicine and alike. Issues related to this area have been …

Decision makers involved in complex decision making problems usually provide information
about their preferences by eliciting their knowledge with different assessments. Usually, the …

Computing with Words (CW) methodology has been used in several different environments
to narrow the differences between human reasoning and computing. As Decision Making is …

Uncertainty in real world decision making problems not always has probabilistic nature, in
such cases the use of linguistic information to model and manage such an uncertainty has …

It is common that experts involved in complex real-world decision problems use natural
language for expressing their knowledge in uncertain frameworks. The language is inherent …

In decision theory there are basically two appr~ hes to the modeling of individual choice:
one is based on an absolute representation of preferences leading to a ntDnerical …

Probabilistic linguistic term set (PLTS) has been proposed to tackle qualitative information
efficiently in the decision-making process to achieve computing with expressions, which can …

Many decision-making tasks are too complex to be understood quantitatively, however,
humans succeed by using knowledge that is imprecise rather than precise. Fuzzy logic …

Every day decision making and decision making in complex human-centric systems are
characterized by imperfect decision-relevant information. Main drawback of the existing …