Type 1 fuzzy function approach based on ridge regression for forecasting

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/19781

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DC Field	Value	Language
dc.contributor.author	Bas, E	-
dc.contributor.author	Egrioglu, E	-
dc.contributor.author	Yolcu, U	-
dc.contributor.author	Grosan, C	-
dc.date.accessioned	2019-12-10T16:12:48Z	-
dc.date.available	2019-10	-
dc.date.available	2019-12-10T16:12:48Z	-
dc.date.issued	2018-07-19	-
dc.identifier.citation	Bas, E., Egrioglu, E., Yolcu, U. and Grosan, C. (2019) 'Type 1 fuzzy function approach based on ridge regression for forecasting', Granular Computing, 4 (4), pp. 629 - 637. doi: 10.1007/s41066-018-0115-4.	en_US
dc.identifier.issn	2364-4966	-
dc.identifier.uri	https://bura.brunel.ac.uk/handle/2438/19781	-
dc.format.extent	629 - 637	-
dc.language	en	-
dc.language.iso	en	en_US
dc.publisher	Springer Science and Business Media LLC	en_US
dc.subject	Type 1 fuzzy function approach	en_US
dc.subject	ridge regression	en_US
dc.subject	fuzzy inference system	en_US
dc.subject	forecasting	en_US
dc.subject	fuzzy c-means	en_US
dc.title	Type 1 fuzzy function approach based on ridge regression for forecasting	en_US
dc.type	Article	en_US
dc.identifier.doi	https://doi.org/10.1007/s41066-018-0115-4	-
dc.relation.isPartOf	Granular Computing	-
pubs.issue	4	-
pubs.publication-status	Published	-
pubs.volume	4	-
dc.identifier.eissn	2364-4974	-
Appears in Collections:	Dept of Computer Science Research Papers

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