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.
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