@INPROCEEDINGS { Rsds4528,
author = {Shiizuka, Hisao and Masaki, Kei}, 
title = {Evaluation of Pictogram Using Rough Sets}, 
booktitle = {Proceedings of the Second International Conference on Rough Sets and Knowledge Technology (RSKT'2007)}, 
conference = {Rough Sets and Knowledge Technology}, 
series =  = {Lecture Notes in Artificial Intelligence}, 
volume = 4481, 
pages = {236--243}, 
publisher = {Springer-Verlag}, 
address = {Heidelberg - Berlin, Germany}, 
year = 2007, 
editor = {Yao, Jing Tao and Lingras, Pawan and Wu, Wei-Zhi and Szczuka, Marcin and Cercone, N. and Slezak, Dominik}, 
isbn = {978-3-540-72457-5}, 
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."}, 
keywords = {kansei engineering, pictogram, rough sets, }, 
}