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dc.contributor.authorMendel, Jerry M., 1938-en
dc.date.accessioned2008-11-24T13:24:12Z
dc.date.available2008-11-24T13:24:12Z
dc.date.issued2007-02-01en
dc.identifier.citationMendel, J. (2007) Computing with words and its relationships with fuzzistics. Information sciences, 177 (4), pp.988-1006.
dc.identifier.issn0020-0255en
dc.identifier.urihttp://hdl.handle.net/2086/178
dc.descriptionIn a 2003 IEEE-FUZZ Conference paper, Mendel proved that to use a type-1 fuzzy set model for a word is scientifically incorrect. Here he explains that to use an interval type-2 fuzz set model for a word is correct, and provides a first-order uncertainty model for a word. The paper describes two methods for solving the following inverse problem: Given data that are collected from a group of individuals about a word (on a scale of 0-10), map the data and its associated uncertainties into the footprint of uncertainty of an interval type-2 fuzzy set model for the word.en
dc.language.isoenen
dc.publisherElsevieren
dc.subjectRAE 2008
dc.subjectUoA 23 Computer Science and Informatics
dc.subjectfuzzistics
dc.subjectinterval type-2 fuzzy sets
dc.subjectinverse problems
dc.titleComputing with words and its relationships with fuzzisticsen
dc.typeArticleen
dc.identifier.doihttp://dx.doi.org/10.1016/j.ins.2006.06.008en
dc.researchgroupCentre for Computational Intelligence


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