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Reliability information to support decision making for e-Government projects

Faiz, Mohd Turan and Daniel Osezua, Aikhuele and Kartina, Johan (2017) Reliability information to support decision making for e-Government projects. In: 3rd International Conference on Communication and Information Processing, ICCIP 2017, 24-26 November 2017 , Tokyo, Japan. pp. 1-6.. ISBN 978-145035365-6

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Abstract

E-government implementations in developing countries still face difficulties, leading to a large failure ratio. This paper proposed an exponential-related function adopted in an intuitionistic Fuzzy TOPSIS model for improving the understanding of failure and for building appropriate reliability knowledge to support decision making for e-government projects. The new method which is simple and straightforward have been successfully applied by virtue of numerical case studies for detecting failures, which in turn has provided information for building reliability knowledge to support decision making process. The method has been compared successfully with some similar computational approach in literature.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Index by Scopus
Uncontrolled Keywords: Exponential related (ER) function; Intuitionistic fuzzy weighted geometric (IFWG) operator; Intuitionistic Fuzzy TOPSIS
Subjects: H Social Sciences > HD Industries. Land use. Labor
J Political Science > JF Political institutions (General)
T Technology > T Technology (General)
Faculty/Division: Faculty of Manufacturing Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 24 May 2018 05:31
Last Modified: 24 May 2018 05:31
URI: http://umpir.ump.edu.my/id/eprint/20569
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