Study of Dietary Variety - A New Strategy using Fuzzy Cluster Analysis based on the New Ordination Method -

概要

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The aim of this study was to clarify the dietary variety of a junior college student, deeply related with eating habits or food preferences. The author tried a new strategy using the fuzzy cluster analysis based on the new ordination method, which can express ambiguity by the membership function. The membership function expresses the degree to which foods belong to each cluster. Foods with the largest membership function in each cluster show the characteristic intake pattern for the cluster. In this study, the fuzzy cluster analysis identified four dietary groups characterized by food intake patterns. Oils, fruits, seeds and sugars had large membership functions, which means that they show the characteristic intake pattern for the student's diet. Vegetables except green and yellow one and milk had small membership functions and could not be clustered clearly into any food group. Therefore, their intake patterns are considered to be ambiguous. These results suggest that the fuzzy cluster analysis based on the new ordination method was effectively applied to clarification of the tendency and intake pattern of foods from ambiguous dietary data with large and irregular fluctuations.
下関短期大学の論文
2005-03-31