著者

鈴木 誠 吉川 大弘 古橋 武

出版者

Japan Society of Kansei Engineering

雑誌

日本感性工学会論文誌 (ISSN:18840833)

巻号頁・発行日

vol.12, no.2, pp.283-290, 2013 (Released:2013-04-18)

参考文献数

18

---

The opportunity that we want to search target document(s) among a large amount of electronic documents such as WEB information and documents inputted by document scanner will be more increasing in near future. We focus on the approach that applies the distribution pattern of the keyword frequency in documents to the search of the documents. In this paper, we propose the method that uses the correspondence analysis for the search of documents based on the similarity of the keyword pattern among them. We apply the proposed method to the data of patents of Nagoya University, and report the result in terms of the accuracy for the document search. The experimental result shows that we can find the related patents to the inputted keyword by a user.

著者

小島 輝之 山本 康高 吉川 大弘 古橋 武

出版者

日本感性工学会

雑誌

感性工学研究論文集 (ISSN:13461958)

巻号頁・発行日

vol.7, no.1, pp.63-70, 2007-05-31 (Released:2010-06-28)

参考文献数

11

---

The purpose of this study is to visualize the impressions on words between two subjects. We employ Semantic Differential (SD) method that is one of the most popular methods to quantify individual subjectivity. The number of dimensions of eachi mpression word is same with that of objects in SD data. It needs to be reduced to less than three dimensions for visualization. This paper proposes the visualization method which focuses on correlations of SD data between two subjects. The impression words are visualized on three-dimensional space where impression words having high correlation between two subjects' SD data are put close one another. We can investigate and discuss the similarities/differences of impression words between two subjects through this visualized space.

著者

工藤 文也 吉川 大弘 古橋 武

出版者

人工知能学会

雑誌

人工知能学会全国大会論文集 (ISSN:13479881)

巻号頁・発行日

vol.25, 2011

---

近年,多目的最適化問題(MOPs)に遺伝的アルゴリズムを適用した,多目的遺伝的アルゴリズム(MOGA)が,工学設計分野への応用などが行われ注目を集めている.工学分野では,良い解を得るだけでなく,得られたパレート解の解析を行い,設計者にとって有益な情報を抽出することが重要な課題となっている.本稿では,得られたパレート解の可視化により,設計変数の解析を行う手法を提案する.