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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

Ching Min Sun (Department of Applied English, Jinwen University of Technology, Taipei, Taiwan)
Cynthia H.F. Wu (Department of English, Chengchi University, Taipei, Taiwan)

Journal of Modelling in Management

ISSN: 1746-5664

Article publication date: 13 March 2009

307

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.

Keywords

Citation

Min Sun, C. and Wu, C.H.F. (2009), "To choose or not? That is the question of memberships: Fuzzy statistical analysis as a new analytical approach in child language research", Journal of Modelling in Management, Vol. 4 No. 1, pp. 55-71. https://doi.org/10.1108/17465660910943757

Publisher

:

Emerald Group Publishing Limited

Copyright © 2009, Emerald Group Publishing Limited

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