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

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dc.contributor.authorHerrini Binti Mohd Pauzi
dc.date.accessioned2016-01-02T07:44:16Z
dc.date.available2016-01-02T07:44:16Z
dc.date.issued2015-03
dc.description.abstractThis 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.identifier.urihttp://hdl.handle.net/123456789/3767
dc.language.isoenen_US
dc.publisherTerengganu: Universiti Malaysia Terengganuen_US
dc.subjectQA 312.5 .H4 2015en_US
dc.subjectHerrini Binti Mohd Pauzien_US
dc.subjectforecasting of CO2 emissionsen_US
dc.subjectThesis PPIMG 2015en_US
dc.subjectFuzzy logic systemen_US
dc.titleA novel hybrid grey-interval type-2 fuzzy logic systemen_US
dc.title.alternativeforecasting of CO2 emissionsen_US
dc.typeThesisen_US
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