• DocumentCode
    642869
  • Title

    Induced knowledge system for e-government development

  • Author

    Yu-Chien Ko ; Fujita, Hideaki

  • Author_Institution
    Dept. of Inf. Manage., Chung Hua Univ., ShinChu, Taiwan
  • fYear
    2013
  • fDate
    26-28 Sept. 2013
  • Firstpage
    357
  • Lastpage
    362
  • Abstract
    E-government might be a key for national competitiveness and wellbeing. However, the significant attributes for developing e-government have not been verified theoretically. This research proposes a method named as DRSA-RS to find out development stages and induction rules for e-government. The results show that the adult literacy is the most significant attribute in the beginning stage and the gross enrollment in education is the most significant for the mature stage. Technically, dominance-based rough set approach (DRSA) is used to generate criteria reliabilities and rough set (RS) is then used to identify the development stages and attributes dependence. The intelligent knowledge about e-government development is revealed theoretically.
  • Keywords
    government data processing; rough set theory; DRSA-RS; dominance-based rough set approach; e-government development; induced knowledge system; Approximation methods; Electronic government; Informatics; Intelligent systems; Reliability; Rough sets; dominance-based rough set approach (DRSA); e-government; intelligent knowledge; rough set (RS);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Informatics (SISY), 2013 IEEE 11th International Symposium on
  • Conference_Location
    Subotica
  • Print_ISBN
    978-1-4799-0303-0
  • Type

    conf

  • DOI
    10.1109/SISY.2013.6662602
  • Filename
    6662602