Algorithms 2012, 5(4), 449-468; doi:10.3390/a5040449
Article

Forecasting the Unit Cost of a Product with Some Linear Fuzzy Collaborative Forecasting Models

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Received: 6 June 2012; in revised form: 7 September 2012 / Accepted: 17 September 2012 / Published: 15 October 2012
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: Forecasting the unit cost of every product type in a factory is an important task. However, it is not easy to deal with the uncertainty of the unit cost. Fuzzy collaborative forecasting is a very effective treatment of the uncertainty in the distributed environment. This paper presents some linear fuzzy collaborative forecasting models to predict the unit cost of a product. In these models, the experts’ forecasts differ and therefore need to be aggregated through collaboration. According to the experimental results, the effectiveness of forecasting the unit cost was considerably improved through collaboration.
Keywords: fuzzy collaborative forecasting; unit cost
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MDPI and ACS Style

Chen, T. Forecasting the Unit Cost of a Product with Some Linear Fuzzy Collaborative Forecasting Models. Algorithms 2012, 5, 449-468.

AMA Style

Chen T. Forecasting the Unit Cost of a Product with Some Linear Fuzzy Collaborative Forecasting Models. Algorithms. 2012; 5(4):449-468.

Chicago/Turabian Style

Chen, Toly. 2012. "Forecasting the Unit Cost of a Product with Some Linear Fuzzy Collaborative Forecasting Models." Algorithms 5, no. 4: 449-468.

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