Abstract
In this paper, we consider pictograms from a point of view of Kansei engineering and rough sets. We propose an evaluation method to the under- standing level of and the pictogram to good quality further. The feature of this text is to use rough sets for the method. In this text that treats information obtained from a lot of pictograms, using rough-set-based-rule extraction. The targeted pictogram used is chart signs for a standard guide “Locker room.”
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References
Mori, N., Tanakam, H., Inoue, K.: Rough Sets and Kansei (in Japanese). Kaibundo, Tokyo (2004)
Chart sign of symbol sign for standard guide that understands at one view. Traffic Ecology Mobility Foundation
Kaiho, H.: Psychology Technique of Expression That Understands from Document, Diagram, and Illustration glance (in Japanese). Kyoritsushuppan, Tokyo (1992)
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© 2007 Springer Berlin Heidelberg
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Masaki, K., Shiizuka, H. (2007). Evaluation of Pictogram Using Rough Sets. In: Yao, J., Lingras, P., Wu, WZ., Szczuka, M., Cercone, N.J., Ślȩzak, D. (eds) Rough Sets and Knowledge Technology. RSKT 2007. Lecture Notes in Computer Science(), vol 4481. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72458-2_29
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DOI: https://doi.org/10.1007/978-3-540-72458-2_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72457-5
Online ISBN: 978-3-540-72458-2
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