Soft set theory based decision support system for mining electronic government dataset
Electronic 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 ob...
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| Format: | Article |
| Language: | en |
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2020
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| Online Access: | http://eprints.uthm.edu.my/715/1/Soft%20Set%20Theory%20Based%20Decision.pdf http://eprints.uthm.edu.my/715/ https://doi.org/10.4018/IJDWM.2020010103 |
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| author | Witarsyah, Deden Md Fudzee, Mohd Farhan Salamat, Mohamad Aizi Yanto, Iwan Tri Riyadi Abawajy, Jemal |
| author_facet | Witarsyah, Deden Md Fudzee, Mohd Farhan Salamat, Mohamad Aizi Yanto, Iwan Tri Riyadi Abawajy, Jemal |
| author_sort | Witarsyah, Deden |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Electronic 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. |
| format | Article |
| id | my.uthm.eprints-715 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | en |
| publishDate | 2020 |
| record_format | eprints |
| spelling | my.uthm.eprints-7152021-10-17T06:16:27Z http://eprints.uthm.edu.my/715/ Soft set theory based decision support system for mining electronic government dataset Witarsyah, Deden Md Fudzee, Mohd Farhan Salamat, Mohamad Aizi Yanto, Iwan Tri Riyadi Abawajy, Jemal QA76 Computer software Electronic 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. 2020 Article PeerReviewed text en http://eprints.uthm.edu.my/715/1/Soft%20Set%20Theory%20Based%20Decision.pdf Witarsyah, Deden and Md Fudzee, Mohd Farhan and Salamat, Mohamad Aizi and Yanto, Iwan Tri Riyadi and Abawajy, Jemal (2020) Soft set theory based decision support system for mining electronic government dataset. International Journal of Data Warehousing and Mining, 16 (1). pp. 39-62. https://doi.org/10.4018/IJDWM.2020010103 |
| spellingShingle | QA76 Computer software Witarsyah, Deden Md Fudzee, Mohd Farhan Salamat, Mohamad Aizi Yanto, Iwan Tri Riyadi Abawajy, Jemal Soft set theory based decision support system for mining electronic government dataset |
| title | Soft set theory based decision support system for mining electronic government dataset |
| title_full | Soft set theory based decision support system for mining electronic government dataset |
| title_fullStr | Soft set theory based decision support system for mining electronic government dataset |
| title_full_unstemmed | Soft set theory based decision support system for mining electronic government dataset |
| title_short | Soft set theory based decision support system for mining electronic government dataset |
| title_sort | soft set theory based decision support system for mining electronic government dataset |
| topic | QA76 Computer software |
| url | http://eprints.uthm.edu.my/715/1/Soft%20Set%20Theory%20Based%20Decision.pdf http://eprints.uthm.edu.my/715/ https://doi.org/10.4018/IJDWM.2020010103 |
| url_provider | http://eprints.uthm.edu.my/ |