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 |