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http://umt-ir.umt.edu.my:8080/handle/123456789/5211| Title: | Interval Type-2 Fuzzy Logic systems for CO2 emissions Forecasting: A Performance Comparison International Journal of Environmental Engineering |
| Authors: | L. Abdullah |
| Keywords: | H. Mohd Pauzi Carbon dioxide Error analysis Forecasting |
| Issue Date: | Apr-2015 |
| Publisher: | International Journal of Environmental Engineering |
| Abstract: | This paper presents an application of fuzzy logic systems to forecast carbon dioxide (CO2) emissions. Interval type-2 TSK fuzzy logic system and Interval type-2 Mamdani fuzzy logic system were employed using a set of secondary data. Data of CO2 emissions in Malaysia and its related causal variables were collected over the period of 1971-2011. Six variables were considered as inputs to the models. Performances of the models were compared using error analysis. The analysis shows that CO2 emissions forecasting based on interval type-2 TSK fuzzy logic system is more reliable compared to Mamdani fuzzy logic system |
| URI: | http://hdl.handle.net/123456789/5211 |
| ISSN: | 2374-1724 |
| Appears in Collections: | Journal Articles |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 108-Interval Type-2 Fuzzy Logic systems for CO2 emissions Forecasting.pdf | 657.11 kB | Adobe PDF | View/Open |
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