Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/72858
DC FieldValueLanguage
dc.contributor英文系
dc.creatorSun, Ching Min;Wu, Cynthia H.F.
dc.date2009
dc.date.accessioned2015-01-13T09:43:14Z-
dc.date.available2015-01-13T09:43:14Z-
dc.date.issued2015-01-13T09:43:14Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/72858-
dc.description.abstractThe purpose of this paper is to propose a new analytical approach in human thought computation with an application to the child language acquisition research. Certain fuzzy statistical concepts, such as fuzzy samples, fuzzy mode, fuzzy category test, and their relevant properties, were presented. Empirical data sets on children`s language and cognitive development were discussed. Finally, the paper makes a comparison result between the traditional statistical analysis and fuzzy statistical analysis. The results show that the new method is better able to capture the intricacies and complexities of the nature and processes in acquiring languages than the traditional methods. The paper presents fuzzy statistical analysis as a new analytical approach in child language research.
dc.format.extent124163 bytes-
dc.format.mimetypeapplication/pdf-
dc.relationJournal of Modelling in Management, 4(1), 55-71
dc.titleTo choose or not? That is the question of memberships
dc.typearticleen
dc.identifier.doi10.1108/17465660910943757en_US
dc.doi.urihttp://dx.doi.org/10.1108/17465660910943757 en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.openairetypearticle-
item.grantfulltextrestricted-
item.cerifentitytypePublications-
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