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A hybrid fuzzy and neural approach for evaluating the cost competitiveness of a semiconductor product
by Toly Chen
International Journal of Technology Intelligence and Planning (IJTIP), Vol. 6, No. 4, 2010

 

Abstract: Product cost is undoubtedly the most critical factor to the competitiveness of a semiconductor product. Therefore, evaluating the competitiveness of a product with its unit cost is a reasonable idea. For this purpose, a hybrid fuzzy and neural approach is proposed in this study. First, a hybrid fuzzy and neural approach is applied to estimate the future unit cost of a semiconductor product. Subsequently, the cost competitiveness of the semiconductor product can be evaluated by comparing the estimated unit cost with the competitive region. A practical example is used to demonstrate the application of the proposed methodology.

 

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