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dc.contributor.authorL. Abdullah-
dc.date.accessioned2017-04-03T08:27:36Z-
dc.date.available2017-04-03T08:27:36Z-
dc.date.issued2015-04-
dc.identifier.issn2374-1724-
dc.identifier.urihttp://hdl.handle.net/123456789/5211-
dc.description.abstractThis 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 systemen_US
dc.language.isoenen_US
dc.publisherInternational Journal of Environmental Engineeringen_US
dc.subjectH. Mohd Pauzien_US
dc.subjectCarbon dioxideen_US
dc.subjectError analysisen_US
dc.subjectForecastingen_US
dc.titleInterval Type-2 Fuzzy Logic systems for CO2 emissions Forecasting: A Performance Comparison International Journal of Environmental Engineeringen_US
dc.typeArticleen_US
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