Fuzzy collaborative intelligence system for semiconductor price forecasting

Toly Chen

International Journal of Industrial and Systems Engineering, 2013, vol. 15, issue 4, 394-409

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.

Keywords: semiconductor prices; fuzzy collaborative intelligence; price forecasting; fuzzy back propagation network; FBPN; semiconductor products; fuzzy group learning tree; semiconductors; fuzzy logic. (search for similar items in EconPapers)
Date: 2013
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