Computing with words and its relationships with fuzzistics

ct 9 Words mean different things to different people, and so are uncertain. We, therefore, need a fuzzy set model for a word 10 that has the potential to capture their uncertainties. In this paper I propose that an interval type-2 fuzzy set (IT2 FS) be 11 used as a FS model of a word, because it is characterized by its footprint of uncertainty (FOU), and therefore has the 12 potential to capture word uncertainties. Two approaches are presented for collecting data about a word from a group 13 of subjects and then mapping that data into a FOU for that word. The person MF approach, in which each person provides 14 their FOU for a word, is limited to fuzzy set experts because it requires the subject to be knowledgeable about fuzzy sets. 15 The interval end-points approach, in which each person provides the end-points for an interval that they associate with a 16 word on a prescribed scale is not limited to fuzzy set experts. Both approaches map data collected from subjects into a 17 pars...

• Type: Journal
• Year: 2007
• Where: ISCI
• Authors: Jerry M. Mendel
• Keywords: Fuzzy Set Model, Fuzzy Sets, Interval Type-2 Fuzzy, ISCI 2007