An application of fuzzy collaborative intelligence to unit cost forecasting with partial data access by security consideration

Tin-Chih Chen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Due to security considerations, integral access to unit cost data is often limited. As a result, it becomes extremely difficult to accurately predict unit cost. To solve this problem, a fuzzy collaborative forecasting approach is proposed in this study. In the proposed methodology, every expert uses a Fuzzy Linear Regression (FLR) equation to predict the unit cost. Subsequently, rather than the raw data, the forecasting results by an expert are conveyed to other experts to modify their settings, so that the actual values will be contained in the fuzzy forecasts after collaboration.

Original languageEnglish
Pages (from-to)201-214
Number of pages14
JournalInternational Journal of Technology Intelligence and Planning
Volume7
Issue number3
DOIs
StatePublished - 1 Dec 2011

Keywords

  • Cost
  • Fuzzy collaborative forecasting
  • Fuzzy linear regression

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