@inproceedings{f9e1e7a9395b44ed93b5576984058077,
title = "An automatic rule creating method for Kansei data and its application to a font creating system",
abstract = "In this paper, we propose a method for creating fuzzy rules of Kansei data automatically. This method consists of 3 steps: (1) Generation of pseudo data of Kansei data by a General Regression Neural Network; (2) Clustering the pseudo data by a Fuzzy ART; (3) Translating each cluster into a fuzzy rule and extracting important rules. In this experiment, we applied this method to {"}a Japanese font creating system reflecting user's Kansei .{"} From the result of the experiment, although we have used the same algorithm for drawing font outlines, the system employing our method can reflect Kansei better than the conventional one.",
author = "Hajime Hotta and Masafumi Hagiwara",
year = "2005",
doi = "10.1007/11526018_41",
language = "English",
isbn = "3540278710",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "421--430",
booktitle = "Modeling Decisions for Artificial Intelligence - Second International Conference, MDAI 2005, Proceedings",
note = "2nd International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2005 ; Conference date: 25-07-2005 Through 27-07-2005",
}