Forecasting the unit cost of a product with some linear fuzzy collaborative forecasting models

Tin-Chih Chen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

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.

Original languageEnglish
Pages (from-to)449-468
Number of pages20
JournalAlgorithms
Volume5
Issue number4
DOIs
StatePublished - 1 Dec 2012

Keywords

  • Fuzzy collaborative forecasting
  • Unit cost

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