Abstract
Recently the Rough Sets method of analysis in Kansei Engineering has been applied for the investigation of design plans for new products. It has been demonstrated that the method of extracting Decision classes for Rough Sets, in which evaluations contain contradictiug items, is very effective. Therefore, we suggested the new method of inferring Decision classes using the simple “Attribute Reduction in Variable Precision Rough Set Models” method proposed by Ziarko. For example, we identified six types of Decision classes using the squeezing method and compared the results of Rough Sets analysis with the results of the Decision classes. Moreover, we verified the effectiveness of these method through a case study of digital cameras.
