A Structural Analysis Based on Similarity between Fuzzy Clusters and Its Application to Evaluation Data
This paper presents a similarity of fuzzy clusters based analysis for consumer preference evaluation data. We apply this method to multiple types of evaluation data. The merit of this method is to capture the latent structure of consumer preferences represented by fuzzy clusters and the relation between these fuzzy clusters as similarity. In addition, due to the presence of identical fuzzy clusters over the different industries, we can compare the difference between the industries through the same subject evaluation by using the scale of the fuzzy clusters. We show a better performance from the use of our proposed method with several numerical examples.
KeywordsFuzzy Cluster Partition Matrix Fuzzy Cluster Method Cluster Difference Compare Response Rate
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