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A novel hybrid grey-interval type-2 fuzzy logic system

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dc.contributor.author Herrini Binti Mohd Pauzi
dc.date.accessioned 2016-01-02T07:44:16Z
dc.date.available 2016-01-02T07:44:16Z
dc.date.issued 2015-03
dc.identifier.uri http://hdl.handle.net/123456789/3767
dc.description.abstract This research intends to propose a novel hybrid model of interval type-2 fuzzy logic system (IT2FLS) and grey theory model to produce a sound forecasting method. The proposed model couples an IT2FLS with a grey model theory namely as greyinterval type-2 fuzzy logic system (G-IT2FLS). The G-IT2FLS aims at exploiting the advantages of the two constituent models to the maximum. Yet, the combination between the IT2FLS and grey model require less burden on computational to design a robust hybrid forecasting model. It was significantly improvised and enhanced through parameter identification, model initialization and structure of the model. en_US
dc.language.iso en en_US
dc.publisher Terengganu: Universiti Malaysia Terengganu en_US
dc.subject QA 312.5 .H4 2015 en_US
dc.subject Herrini Binti Mohd Pauzi en_US
dc.subject forecasting of CO2 emissions en_US
dc.subject Thesis PPIMG 2015 en_US
dc.subject Fuzzy logic system en_US
dc.title A novel hybrid grey-interval type-2 fuzzy logic system en_US
dc.title.alternative forecasting of CO2 emissions en_US
dc.type Thesis en_US


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