Publication: Model-based system tool for Thai Tax Revenue Forecasting (MBS-TTRF)
Issued Date
2011-07-21
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2-s2.0-79960419077
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Mahidol University
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SCOPUS
Bibliographic Citation
Proceedings of the 2011 8th International Joint Conference on Computer Science and Software Engineering, JCSSE 2011. (2011), 132-137
Suggested Citation
Jarernsri L. Mitrpanont, Pattama Tounprasert Model-based system tool for Thai Tax Revenue Forecasting (MBS-TTRF). Proceedings of the 2011 8th International Joint Conference on Computer Science and Software Engineering, JCSSE 2011. (2011), 132-137. doi:10.1109/JCSSE.2011.5930108 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/11784
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Title
Model-based system tool for Thai Tax Revenue Forecasting (MBS-TTRF)
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Abstract
Model-Based System Tool for Thai Tax Revenue Forecasting (MBS-TTRF) is a model-based management system used to provide the flexibility and increase efficiency of Thai Tax Revenue Forecasting in the Revenue Department (RD). MBSTTRF contains five essential model-categories for Tax Revenue Forecasting, i.e., ETTRF Models, NITTRF Models, STTRF Models, TTRF A Models, and TTRFAC Models. The system supports the data analytical functions: Sensitivity, What-if and Goal-seeking analysis, useful for analyzing results before making a decision. Furthermore, this system also improves the accuracy of Thai Tax Revenue Forecasting by adding regression approach to NITTRF. The experimental results showed that NITTRF generated better results than the existing model-ETTRF. The results also showed that MBS-TTRF is suitable to assist a user/decision maker as an alternative model to forecast tax revenue and reduces time for Thai Tax Revenue Forecasting operation that depends mainly on human expertise. © 2011 IEEE.