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
Link To Document :
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