Title: Fuzzy collaborative intelligence system for semiconductor price forecasting
Author: Toly Chen
Address: Department of Industrial Engineering and Systems Management, Feng Chia University, 100, Wenhwa Rd., Seatwen, Taichung City 408, Taiwan
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.
Int. J. of Industrial and Systems Engineering, 2013 Vol.15, No.4, pp.394 - 409
Available online: 18 Sep 2013