Kansei Visualization System using Fuzzy Correspondence Analysis

In this paper, a visualization system using the individual fluctuation on evaluation is introduced. The system equips the fuzzy correspondence analysis which quantifies relationships between evaluation objects and items. The system can visualize these locations and circles expressing the relative fuzziness of the fluctuation. We define a similarity measure between the evaluation objects and items, taking into account both of the distance and the relative fuzziness. The obtained similarity measure is utilized to determine ranking of objects under a given linguistic quantifier and several evaluation items such as adjectives. The effectiveness of the system is shown through analysis of the subjective evaluation about traditional craft of Ishikawa Prefecture.