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Design Knowledge Reduction Approach Based on Rough Sets of HCI

Qing Xue (), Qi-qi Yin, Li-ying Feng and Min-xia Liu
Additional contact information
Qing Xue: Beijing Institute of Technology
Qi-qi Yin: Beijing Institute of Technology
Li-ying Feng: Beijing Institute of Technology Zhuhai
Min-xia Liu: Beijing Institute of Technology

Chapter Chapter 28 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 267-277 from Springer

Abstract: 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 (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-38391-5_28

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DOI: 10.1007/978-3-642-38391-5_28

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