Hybrid Grey forecasting model for Taiwan's Hsinchu Science Industrial Park

dc.citation.epage	360	en_US
dc.citation.issue	5	en_US
dc.citation.spage	354	en_US
dc.citation.volume	68	en_US
dc.citation.woscount	2
dc.contributor.author	Sun, Chia Chi	en_US
dc.contributor.author	Lin, Grace T. R.	en_US
dc.contributor.department	科技管理研究所	zh_TW
dc.contributor.department	Institute of Management of Technology	en_US
dc.date.accessioned	2014-12-08T15:09:34Z
dc.date.available	2014-12-08T15:09:34Z
dc.date.issued	2009-05-01	en_US
dc.description.abstract	Grey theory is an effective method to solve uncertainty problems with discrete data and incomplete information. This paper proposes an improved grey GM (1, 1) model, using a technique that combines residual modification with Markov chain model. Proposed Grey-Markov model, applied as a case study to annual output of Taiwan Hsinchu Industries Science Park, could clearly improve forecast accuracy of original Grey forecast model.	en_US
dc.identifier.issn	0022-4456	en_US
dc.identifier.journal	JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH	en_US
dc.identifier.uri	https://ir.lib.nycu.edu.tw/handle/11536/7316
dc.identifier.wosnumber	WOS:000265899100002
dc.language.iso	en_US	en_US
dc.subject	Grey forecasting model	en_US
dc.subject	Hsinchu Science Industrial Park	en_US
dc.subject	Markov chain	en_US
dc.title	Hybrid Grey forecasting model for Taiwan's Hsinchu Science Industrial Park	en_US
dc.type	Article	en_US

Files

Now showing 1 - 1 of 1