Decision-Making Based on Fuzzy Linguistic Signatures

Decision-making is a key process for human beings, and it is becoming more complicated in the case of uncertainty. Thus, it may be a more realistic approach to use linguistic values instead of numerical values. In the literature, there have been numerous applications for fuzzy signatures for modelling decision-making problems with uncertainty. However, there are application cases where the parameters are not measurable, and there is no way to assign precise membership values and functions to the variables. The main goal of this paper is to propose a way to make a decision about traffic related questions, using a new model for fuzzy linguistic signatures with linguistic aggregation operations in this case. Telemetric data collected by the Hungarian e-toll declaration provider are utilized for the purpose of the example. The results demonstrate the efficiency and time-saving advantages of employing fuzzy linguistic signatures over to numerical methods for decision-making.