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.
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.
