Fuzzy collaborative intelligence system for semiconductor price forecasting

Tin-Chih Chen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

A fuzzy collaborative intelligence system is built in the present work to improve the performance of forecasting the price of a semiconductor product. In the fuzzy collaborative intelligence system, some domain experts are asked to put forward their views on several aspects. These views are incorporated into a fuzzy back propagation network (FBPN) to generate fuzzy-valued price forecasts. To derive a single representative value from these fuzzy price forecasts, the concept of fuzzy group learning tree (FGLT) is proposed. The effectiveness of the fuzzy collaborative intelligence system was validated with a real case.

Original languageEnglish
Pages (from-to)394-409
Number of pages16
JournalInternational Journal of Industrial and Systems Engineering
Volume15
Issue number4
DOIs
StatePublished - 25 Nov 2013

Keywords

  • FBPN
  • Forecasting
  • Fuzzy back propagation network
  • Fuzzy collaborative intelligence
  • Price
  • Semiconductor

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