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dc.contributor.authorLertworaprachaya, Youdthachaien
dc.contributor.authorYang, Yingjieen
dc.contributor.authorJohn, Robert, 1955-en
dc.date.accessioned2016-03-21T10:35:43Z
dc.date.available2016-03-21T10:35:43Z
dc.date.issued2014-11
dc.identifier.citationLertworaprachaya, Y., Yang, Y. and John, R. (2014) Interval-Valued Fuzzy Decision Trees with Optimal Neighbourhood Perimeter. Applied Soft Computing, 24, pp. 851-856en
dc.identifier.issn1568-4946
dc.identifier.urihttp://hdl.handle.net/2086/11658
dc.descriptionThe file attached to this record is the author's final peer reviewed version. The publisher's final version can be found by following the DOI link. ©2014 This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.description.abstractThis research proposes a new model for constructing decision trees using interval-valued fuzzy membership values. Most existing fuzzy decision trees do not consider the uncertainty associated with their membership values, however, precise values of fuzzy membership values are not always possible. In this paper, we represent fuzzy membership values as intervals to model uncertainty and employ the look-ahead based fuzzy decision tree induction method to construct decision trees. We also investigate the significance of different neighbourhood values and define a new parameter insensitive to specific data sets using fuzzy sets. Some examples are provided to demonstrate the effectiveness of the approach.en
dc.language.isoenen
dc.publisherElsevieren
dc.relation.ispartofseries24;
dc.subjectLook-ahead based fuzzy decision tree inductionen
dc.subjectOptimal perimeteren
dc.subjectInterval-valued fuzzy decision treesen
dc.titleInterval-Valued Fuzzy Decision Trees with Optimal Neighbourhood Perimeteren
dc.typeArticleen
dc.identifier.doihttp://dx.doi.org/10.1016/j.asoc.2014.08.060
dc.researchgroupCentre for Computational Intelligenceen
dc.peerreviewedYesen
dc.funderNoneen
dc.projectidNoneen
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en


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