@inproceedings{7c083d8864e445c9930988d41842ac07,
title = "Design knowledge reduction approach based on rough sets of HCI",
abstract = "With the application of high-tech in the battlefield, the battlefield environment became complicated. Whether the weapon is easy to use or not depended on its interface, and determines the success or failure of the war. In order to design weapon display interface and improve the usability of interactive system, an approach to adaption reasoning based on rough sets is proposed. Condition attributions of decision tables in the knowledge systems could be reduced, and it simplified the adaption inference rules and related human-computer interface design knowledge, which could be applied into the design practices easily. And concise friendly adaptive human-computer interface could be designed to improve the efficiency of operations.",
keywords = "Context, Decision table, Rough set, Weapon display interface",
author = "Qing Xue and Yin, {Qi Qi} and Feng, {Li Ying} and Liu, {Min Xia}",
year = "2013",
doi = "10.1007/978-3-642-38391-5_28",
language = "English",
isbn = "9783642383908",
series = "19th International Conference on Industrial Engineering and Engineering Management: Assistive Technology of Industrial Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "267--277",
booktitle = "19th International Conference on Industrial Engineering and Engineering Management",
address = "Germany",
note = "19th International Conference on Industrial Engineering and Engineering Management: Assistive Technology of Industrial Engineering ; Conference date: 27-10-2012 Through 29-10-2012",
}