Constructing General Type-2 fuzzy sets from interval-valued data

In this paper we describe a method of using interval valued survey responses from multiple experts on multiple occassions to produce General Type-2 fuzzy sets. In the method we propose, both the intra- and inter-person variability are modelled, with no loss of information. The resulting sets are completely determined by the data, providing an accurate representation (in terms of being defined solely by the data) of the opinions being modelled. A description of the method is provided, along with synthetic and real-world numeric examples and a comparison to an alternative method proposed in [1].