Saima, H and Jaafar, J. and Brahim Belhaouari, Samir (2012) A Hybrid Fuzzy Time Series Model for Forecasting. Engineering Letters, 20 (1). pp. 88-93. ISSN 1816-094
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Abstract
Researchers are finding their way to solve the chaotic and uncertain problems using the extensions of classical fuzzy model. At present Interval Type-2 Fuzzy logic Systems (IT2-FLS)are extensively used after the thriving exploitation of Type-2 FLS. Fuzzy time series models have been used for forecasting stock and FOREX indexes, enrollments, temperature, disease diagnosing and weather. In this paper an integrated fuzzy time series model based on ARIMA and IT2-FLS is presented. The propose model will use ARIMA to select appropriate coefficients from the observed dataset. IT2-FLS is utilized here for forecasting the result with more accuracy and certainty.
| Item Type: | Article |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Departments / MOR / COE: | Departments > Computer Information Sciences |
| ID Code: | 7487 |
| Deposited By: | Dr Jafreezal Jaafar |
| Deposited On: | 12 Mar 2012 00:14 |
| Last Modified: | 19 Jan 2017 08:21 |
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