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Fuzzy collaborative intelligence system for semiconductor price forecasting

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  • Toly Chen

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.

Suggested Citation

  • Toly Chen, 2013. "Fuzzy collaborative intelligence system for semiconductor price forecasting," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 15(4), pages 394-409.
    • Handle: RePEc:ids:ijisen:v:15:y:2013:i:4:p:394-409
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