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To choose or not? That is the question of memberships Fuzzy statistical analysis as a new analytical approach in child language research

To choose or not? That is the question of memberships Fuzzy statistical analysis as a new... Purpose – The purpose of this paper is to propose a new analytical approach in human thought computation with an application to the child language acquisition research. Design/methodology/approach – 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. Findings – 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. Originality/value – The paper presents fuzzy statistical analysis as a new analytical approach in child language research. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Modelling in Management Emerald Publishing

To choose or not? That is the question of memberships Fuzzy statistical analysis as a new analytical approach in child language research

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Publisher
Emerald Publishing
Copyright
Copyright © 2009 Emerald Group Publishing Limited. All rights reserved.
ISSN
1746-5664
DOI
10.1108/17465660910943757
Publisher site
See Article on Publisher Site

Abstract

Purpose – The purpose of this paper is to propose a new analytical approach in human thought computation with an application to the child language acquisition research. Design/methodology/approach – 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. Findings – 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. Originality/value – The paper presents fuzzy statistical analysis as a new analytical approach in child language research.

Journal

Journal of Modelling in ManagementEmerald Publishing

Published: Mar 13, 2009

Keywords: Fuzzy logic; Statistical analysis; Children (age groups); Language

References