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題名 Fuzzy time series analysis and forecasting
作者 Wu, Berlin
吳柏林
Nguyen, H.T.
貢獻者 應數系
日期 2006
上傳時間 21-Jul-2015 15:29:34 (UTC+8)
摘要 The problem of system modeling and identification has attracted considerable attention during the past decades mostly because of a large number of applications in diverse fields. In this chapter we give a well defined fuzzy time series model with forecasting through the Markov fuzzy relation. An illustrative algorithm based on a fuzzy logic is developed to predicate the multivariate dynamic data. © Springer-Verlag Berlin Heidelberg 2006.
關聯 Studies in Fuzziness and Soft Computing, 198, 145-182
資料類型 article
DOI http://dx.doi.org/10.1007/11353492_9
dc.contributor 應數系-
dc.creator (作者) Wu, Berlin-
dc.creator (作者) 吳柏林zh_TW
dc.creator (作者) Nguyen, H.T.en_US
dc.date (日期) 2006-
dc.date.accessioned 21-Jul-2015 15:29:34 (UTC+8)-
dc.date.available 21-Jul-2015 15:29:34 (UTC+8)-
dc.date.issued (上傳時間) 21-Jul-2015 15:29:34 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/76763-
dc.description.abstract (摘要) The problem of system modeling and identification has attracted considerable attention during the past decades mostly because of a large number of applications in diverse fields. In this chapter we give a well defined fuzzy time series model with forecasting through the Markov fuzzy relation. An illustrative algorithm based on a fuzzy logic is developed to predicate the multivariate dynamic data. © Springer-Verlag Berlin Heidelberg 2006.-
dc.format.extent 176 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Studies in Fuzziness and Soft Computing, 198, 145-182-
dc.title (題名) Fuzzy time series analysis and forecasting-
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1007/11353492_9-
dc.doi.uri (DOI) http://dx.doi.org/10.1007/11353492_9-