Interval-Valued Complex Fuzzy Logic

dc.cclicenceCC-BYen
dc.contributor.authorGreenfield, Sarahen
dc.contributor.authorChiclana, Franciscoen
dc.contributor.authorDick, Scotten
dc.date.acceptance2016-03-14en
dc.date.accessioned2016-04-07T13:54:50Z
dc.date.available2016-04-07T13:54:50Z
dc.date.issued2016
dc.descriptionDMU Interdisciplinary Group in Intelligent Transport Systems (DIGITS)en
dc.description.abstractData is frequently characterised by both uncertainty and seasonality. Type-2 fuzzy sets are an extension of type-1 fuzzy sets offering a conceptual scheme within which the effects of uncertainties in fuzzy inferencing may be modelled and minimised. Complex fuzzy sets are type-1 fuzzy sets extended by an additional phase term which permits them to intuitively represent the seasonal aspect of fuzziness in time-series applications. Type-2 fuzzy sets take two forms, generalised, and the simpler interval. Interval-valued fuzzy sets are type-1 fuzzy sets whose behaviour and properties are equivalent to interval type-2 fuzzy sets. This paper is concerned with the combination of interval-valued fuzzy sets and complex fuzzy sets to develop interval-valued complex fuzzy sets, an adaption of complex fuzzy sets such that the membership function assigns each point on the domain to an interval. From the definition of the interval-valued complex fuzzy set, the principles of interval-valued complex fuzzy logic are developed.en
dc.funderNAen
dc.identifier.citationGreenfield, S., Chiclana, F. and Dick, S. Interval-Valued Complex Fuzzy Logic. Accepted for presentation at FUZZ-IEEE2006 (WCCI2016).en
dc.identifier.urihttp://hdl.handle.net/2086/11838
dc.language.isoenen
dc.peerreviewedYesen
dc.projectidNAen
dc.publisherIEEEen
dc.researchgroupCentre for Computational Intelligenceen
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en
dc.titleInterval-Valued Complex Fuzzy Logicen
dc.typeConferenceen

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