abawajy-softsettheory-2020.pdf (1.47 MB)
Soft set theory based decision support system for mining electronic government dataset
journal contribution
posted on 2020-01-01, 00:00 authored by Deden Witarsyah, Mohd Farhan Md Fudzee, Mohamad Aizi Salamat, Iwan Tri Riyadi Yanto, Jemal AbawajyJemal AbawajyElectronic government (e-gov) is applied to support performance and create more efficient and effective public services. Grouping data in soft-set theory can be considered as a decision-making technique for determining the maturity level of e-government use. So far, the uncertainty of the data obtained through the questionnaire has not been maximally used as an appropriate reference for the government in determining the direction of future e-gov development policy. This study presents the maximum attribute relative (MAR) based on soft set theory to classify attribute options. The results show that facilitation conditions (FC) are the highest variable in influencing people to use e-government, followed by performance expectancy (PE) and system quality (SQ). The results provide useful information for decision makers to make policies about their citizens and potentially provide recommendations on how to design and develop e-government systems in improving public services.
History
Journal
International journal of data warehousing and miningVolume
16Issue
1Season
January-MarchPagination
39 - 62Publisher
IGI GlobalPublisher DOI
ISSN
1548-3924eISSN
1548-3932Language
engPublication classification
C1 Refereed article in a scholarly journalCopyright notice
2020, IGI GlobalUsage metrics
Categories
Keywords
Science & TechnologyTechnologyComputer Science, Software EngineeringComputer ScienceDecision-MakingE-GovemmentFacilitation ConditionsMaximum Attribute RelativePerformance ExpectancySoft-Set TheorySystem QualityADOPTIONBARRIERSMODELInformation SystemsArtificial Intelligence and Image ProcessingData Format
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