Encoding Words Into Interval Type-2 Fuzzy Sets Using an Interval Approach

  title={Encoding Words Into Interval Type-2 Fuzzy Sets Using an Interval Approach},
  author={Feilong Liu and Jerry M. Mendel},
  journal={IEEE Transactions on Fuzzy Systems},
This paper presents a very practical type-2-fuzzistics methodology for obtaining interval type-2 fuzzy set (IT2 FS) models for words, one that is called an interval approach (IA). The basic idea of the IA is to collect interval endpoint data for a word from a group of subjects, map each subject's data interval into a prespecified type-1 (T1) person membership function, interpret the latter as an embedded T1 FS of an IT2 FS, and obtain a mathematical model for the footprint of uncertainty (FOU… CONTINUE READING
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