A New Forecasting Model of Fuzzy Time Series

Autor:	Hai Long Jin, Hao Feng, Hong Xu Wang, Jian Chun Guo
Rok vydání:	2014
Předmět:	Series (mathematics) business.industry Fuzzy set Fuzzy set operations General Medicine Artificial intelligence Time series business Machine learning computer.software_genre computer Fuzzy logic Mathematics
Zdroj:	Applied Mechanics and Materials. 678:59-63
ISSN:	1662-7482
DOI:	10.4028/www.scientific.net/amm.678.59
Popis:	Classical time series model can efficiently handle many forecasting problems, but these models can not solves the forecasting problem in which values of the time series are represented by language values or fuzzy sets. Song and Chissom and many other scholars put forward many models, and these models can only forecast research about historical data. This paper presents a new fuzzy time series forecasting model which can predict the data of unknown years.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::263b32290f2a671da9482891dbf9a0d1 https://doi.org/10.4028/www.scientific.net/amm.678.59 Zobrazit plný text záznamu