Abstract

RODRIGUEZ, Mónica  and  HUERTAS, Yeniffer. Methodology for Designing Type-2 Fuzzy sets from Experts Opinions. ing. [online]. 2016, vol.21, n.2, pp.121-137. ISSN 0121-750X.  https://doi.org/10.14483/udistrital.jour.reving.2016.2.a01.

Context: There is a need for processing information coming from human like language that includes uncertainty in order to solve problems defined in that context. Method: We use Type-2 fuzzy sets for defining and measuring human like language, so we propose a methodology for designing them. The proposal is composed by three key steps:(1) defining a linguistic label (word), (2) defining its membership function, and (3) collecting information from experts. Results: The proposal is applied and validated in a real scenario based on triangular fuzzy sets through two different groups of experts. We present a proposal to model, process and analyze input information coming from experts that allows to do an appropriate handling of uncertainty present in people perceptions. Conclusions: The proposed methodology is applicable to different problems where different people express their opinions and/or perceptions about a specific problem.

Keywords : uncertainty; perception; information; language; Type-2 fuzzy sets.

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