文章基本信息

标题：感性評価データの主成分分析に関する考察
本地全文：下载
作者：Yoshiteru NAKAMORI ; Mina RYOKE ; Sayoko KAWANO 等
期刊名称：知能と情報
印刷版ISSN：1347-7986
电子版ISSN：1881-7203
出版年度：2003
卷号：15
期号：6
页码：658-670
DOI：10.3156/jsoft.15.658
出版社：Japan Society for Fuzzy Theory and Intelligent Informatics
摘要：The paper formulates new types of fuzzification in principal component analysis, which deal with subjective data obtained by evaluating objects intuitively. The first technique identifies fuzzy sets in the data space and the second one identifies fuzzy sets in the model parameter space. Both focus on preservation of differences between the feeling of evaluators, and give principal components with fuzzy numbers that reflect vagueness in evaluation. The first technique is mainly used for the analysis of objects by taking into account vagueness in evaluation, while the second one is mainly used for estimating fuzzy principal components, or comprehensive evaluation, for a new crisp data. The paper briefly shows a numerical example using the data obtained by evaluating local environment with linguistic expressions.
关键词：Evaluation data ; principal component analysis ; fuzzy principal component model ; evaluation of environment