Determining interval type-2 fuzzy set models for words using data collected from one subject: Person FOUs

This paper provides a new methodology for determining a word's interval type-2 fuzzy set model using only one subject, a Person FOU. It uses interval end-point uncertainty intervals instead of only the end-point intervals. Such uncertainty intervals are relatively easy to collect and they do not introduce methodological uncertainties during the data-collection process. This new method is applied to ten probability words. Person FOUs are obtained for these words, and the robustness of this new method to the choice of the probability distribution that is assigned to the interval end-point uncertainty intervals is examined and demonstrated.