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Fuzzy seasonal time series for forecasting the production value of the mechanical industry in Taiwan

Article Abstract:

The production value of the mechanical industry in Taiwan was forecasted using fuzzy seasonal time series. A potential benefit of the study was providing enterprises with a method to conduct short-term predictions that will serve as an aid to accurate planning. The fuzzy seasonal time series method included interval models with interval parameters which makes the distribution of future value a possibility. The results of the application of the method showed that the method can be relied on to make good forecasts.

Author: Yu, Hsiao-Cheng, Tzeng, Gwo-Hshiung, Tseng, Fang Mei
Publisher: Elsevier B.V.
Publication Name: Technological Forecasting & Social Change
Subject: Social sciences
ISSN: 0040-1625
Year: 1999
Taiwan, Fuzzy logic, Industrial productivity, Fuzzy systems

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Meeting the broadband access infrastructure demands: the promise of Gigabit Ethernet

Article Abstract:

The continuous growth of Global Internet traffic is creating bandwidth demand in the telecommunications network. The enhancement of Gigabit Ethernet technology is reviewed. The advantages and disadvantages of using the technology in the metropolitan area network are discussed. The implications of this technology evolution on telecom carriers are examined.

Author: Yu, Hsiao-Cheng, Cheng, Joe Z., Sincoskie, W. David
Publisher: Elsevier B.V.
Publication Name: Technological Forecasting & Social Change
Subject: Social sciences
ISSN: 0040-1625
Year: 2005
Market information - general, Product information, Communications, Broadcasting and Telecommunications, Telephone Communication, Evaluation, Telecommunications services industry, Telecommunications industry, Supply and demand, Communications industry, Technology application, Product enhancement, Bandwidth, Bandwidth technology, Gigabit Ethernet, Bandwidth allocation

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Applied hybrid grey model to forecast seasonal time series

Article Abstract:

The GM(1,1) grey forecasting model has been shown to be insufficient for forecasting time series with seasonality. It has been possible to develop a hybrid technique linking the GM(1,1) grey forecasting model with the ratio-to-moving-average deseasonalization approach to predict time series with seasonality features.

Author: Tseng, Fang-Mei, Yu, Hsiao-Cheng, Tzeng, Gwo-Hsiung
Publisher: Elsevier B.V.
Publication Name: Technological Forecasting & Social Change
Subject: Social sciences
ISSN: 0040-1625
Year: 2001
Financial Forecasting, Business forecasting

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Subjects list: Models, Seasonal variations (Economics)
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