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The purpose of this paper is to propose a generalized clustering model. The structure of an observed similarity is usually unknown and complicated, so various fuzzy clustering models are required to identily the latent structure of the similarity data. Therefore, we define a general class of...
A new scaling technique was developed in the present work to investigate the image integration of consumers, taking advantage of the recent visual and object-oriented programming technology. Employed visual stimuli were the logos (and the accompanying symbolic marks, if any) of the four leading...
In this paper, we propose a new hierarchical clustering method, which is useful to find appropriate clusters of attributes from given dichotomous or frequency data. Important features of our method are 1) the similarity between two attributes is defined as a probability of their pattern vectors...
This paper discusses different methods of measuring and comparing national character cross-nationally, considered respectively in terms of a multifaceted phenomenon and a specific aspect such as the quality of life. Using data collected in seven nations, we first applied the GHT model with VA...
When we are to select students using the result of an entrance examination, it is common to select N
0 students out of N applicants on the basis of a composite score of m subtests, where N
0, the number of students to be selected, is determined prior to the administration of the entrance...
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