A Preference Ranking Method by Direct Utilization of Possibilistic Distributions of Kansei Evaluation

Abstract

When people evaluate objects such as products subjectively, it is common that a fluctuation occurs for Kansei subjective evaluation data. In this study, possibilistic distributions come from the fluctuation of sensitivity evaluation by a subject group are identified. The obtained possibilistic distributions are directly utilized to provide a personalized ranking list when a customer gives sensitivity expression words and the language quantifier that the customer desires for the product.