A New Time-Invariant Fuzzy Time Series Forecasting Method Based on Genetic Algorithm
In recent years, many fuzzy time series methods have been proposed in the literature. Some of these methods use the classical fuzzy set theory, which needs complex matricial operations in fuzzy time series methods. Because of this problem, many studies in the literature use fuzzy group relationship...
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| Format: | Article |
| Language: | English |
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Wiley
2012-01-01
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| Series: | Advances in Fuzzy Systems |
| Online Access: | http://dx.doi.org/10.1155/2012/785709 |
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| _version_ | 1832562629819760640 |
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| author | Erol Eğrioğlu |
| author_facet | Erol Eğrioğlu |
| author_sort | Erol Eğrioğlu |
| collection | DOAJ |
| description | In recent years, many fuzzy time series methods have been proposed in the literature. Some of these methods use the classical fuzzy set theory, which needs complex matricial operations in fuzzy time series methods. Because of this problem, many studies in the literature use fuzzy group relationship tables. Since the fuzzy relationship tables use order of fuzzy sets, the membership functions of fuzzy sets have not been taken into consideration. In this study, a new method that employs membership functions of fuzzy sets is proposed. The new method determines elements of fuzzy relation matrix based on genetic algorithms. The proposed method uses first-order fuzzy time series forecasting model, and it is applied to the several data sets. As a result of implementation, it is obtained that the proposed method outperforms some methods in the literature. |
| format | Article |
| id | doaj-art-a9ce0b5e6753483a96dce5dfc4c11be6 |
| institution | Kabale University |
| issn | 1687-7101 1687-711X |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Fuzzy Systems |
| spelling | doaj-art-a9ce0b5e6753483a96dce5dfc4c11be62025-02-03T01:22:13ZengWileyAdvances in Fuzzy Systems1687-71011687-711X2012-01-01201210.1155/2012/785709785709A New Time-Invariant Fuzzy Time Series Forecasting Method Based on Genetic AlgorithmErol Eğrioğlu0Department of Statistics, Faculty of Arts and Science, University of Ondokuz Mayıs, 55139 Samsun, TurkeyIn recent years, many fuzzy time series methods have been proposed in the literature. Some of these methods use the classical fuzzy set theory, which needs complex matricial operations in fuzzy time series methods. Because of this problem, many studies in the literature use fuzzy group relationship tables. Since the fuzzy relationship tables use order of fuzzy sets, the membership functions of fuzzy sets have not been taken into consideration. In this study, a new method that employs membership functions of fuzzy sets is proposed. The new method determines elements of fuzzy relation matrix based on genetic algorithms. The proposed method uses first-order fuzzy time series forecasting model, and it is applied to the several data sets. As a result of implementation, it is obtained that the proposed method outperforms some methods in the literature.http://dx.doi.org/10.1155/2012/785709 |
| spellingShingle | Erol Eğrioğlu A New Time-Invariant Fuzzy Time Series Forecasting Method Based on Genetic Algorithm Advances in Fuzzy Systems |
| title | A New Time-Invariant Fuzzy Time Series Forecasting Method Based on Genetic Algorithm |
| title_full | A New Time-Invariant Fuzzy Time Series Forecasting Method Based on Genetic Algorithm |
| title_fullStr | A New Time-Invariant Fuzzy Time Series Forecasting Method Based on Genetic Algorithm |
| title_full_unstemmed | A New Time-Invariant Fuzzy Time Series Forecasting Method Based on Genetic Algorithm |
| title_short | A New Time-Invariant Fuzzy Time Series Forecasting Method Based on Genetic Algorithm |
| title_sort | new time invariant fuzzy time series forecasting method based on genetic algorithm |
| url | http://dx.doi.org/10.1155/2012/785709 |
| work_keys_str_mv | AT erolegrioglu anewtimeinvariantfuzzytimeseriesforecastingmethodbasedongeneticalgorithm AT erolegrioglu newtimeinvariantfuzzytimeseriesforecastingmethodbasedongeneticalgorithm |