1995 Volume 22 Issue 2 Pages 95-109
The present paper proposes a method of construction of multiple uni-dimensional scales by classifying a set of qualitative variables into groups. The method consists of Hayashi's third method of quantification and fuzzy c-means clustering. Weight parameter, agi, which indicates a degree that each item belongs to each group, facilitates the classification. As numerical examples, four artificial data sets are analyzed and the characteristics of the method are examined. Two real data sets are also analyzed and it is observed that interpretable groups are obtained in both data sets.