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Design Knowledge Reduction Approach Based on Rough Sets of HCI

In: The 19th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • 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)

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.

Suggested Citation

  • Qing Xue & Qi-qi Yin & Li-ying Feng & Min-xia Liu, 2013. "Design Knowledge Reduction Approach Based on Rough Sets of HCI," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), The 19th International Conference on Industrial Engineering and Engineering Management, edition 127, chapter 0, pages 267-277, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-38391-5_28
    DOI: 10.1007/978-3-642-38391-5_28
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    Cited by:

    1. Balaid, Ali & Abd Rozan, Mohd Zaidi & Hikmi, Syed Norris & Memon, Jamshed, 2016. "Knowledge maps: A systematic literature review and directions for future research," International Journal of Information Management, Elsevier, vol. 36(3), pages 451-475.

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