ラフ集合を用いた認知部位と評価用語の関係分析法の提案

概要

論文の詳細を見る
Although the use of rough sets with nonlinear feature is a promising method in the research of Kansei engineering, it has a significant problem when used to analyze a large number of decision rules extracted from a decision matrix of rough sets. This paper proposes, from a statistical viewpoint, a new method to analyze and evaluate numerous decision rules based on Covering Index of rough sets. In this method, "Column Scores"corresponds to the category score in multivariate analysis, and the introduction of "Combination Rate"and "Total Covering Index"makes it easier to consider the result of analysis.<BR>The advantage is that consideration of analysis results can be performed easily. The validity of this proposal is examined by using the case study conducted for digital camera. The fundamental idea of Kansei engineering is to transform the emotion-attitudes of users toward the product and its images into concrete form elements. In this paper, after a relationship between the attitude as criterion variable and the image as explanatory variable is evaluated by canonical correlation analysis based on the investigation experiment about digital camera, a relationship between the image as criterion variable and the cognitive part as explanatory variable is explained by means of both rough sets and our proposed method.<BR>As a result, an interpretative relationship between attitudes toward digital camera and its cognitive parts can be derived.
日本感性工学会の論文

ラフ集合を用いた認知部位と評価用語の関係分析法の提案

スポンサーリンク

概要

著者

関連論文

スポンサーリンク