Computing with words and its relationships with fuzzistics

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dc.contributor.author Mendel, Jerry M., 1938- en
dc.date.accessioned 2008-11-24T13:24:12Z
dc.date.available 2008-11-24T13:24:12Z
dc.date.issued 2007-02-01 en
dc.identifier.citation Mendel, J. (2007) Computing with words and its relationships with fuzzistics. Information sciences, 177 (4), pp.988-1006.
dc.identifier.issn 0020-0255 en
dc.identifier.uri http://hdl.handle.net/2086/178
dc.description In 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.iso en en
dc.publisher Elsevier en
dc.subject RAE 2008
dc.subject UoA 23 Computer Science and Informatics
dc.subject fuzzistics
dc.subject interval type-2 fuzzy sets
dc.subject inverse problems
dc.title Computing with words and its relationships with fuzzistics en
dc.type Article en
dc.identifier.doi http://dx.doi.org/10.1016/j.ins.2006.06.008 en
dc.researchgroup Centre for Computational Intelligence


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