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