A hybrid fuzzy and neural approach for evaluating the cost competitiveness of a semiconductor product

被引：2

作者：

Chen T. ^{[1
]}

机构：

[1] Department of Industrial Engineering and Systems Management, Feng Chia University, Seatwen, Taichung City 407, 100, Wenhwa Rd.

来源：

International Journal of Technology Intelligence and Planning | 2010年 / 6卷 / 04期

关键词：

Competitive; Cost; Fuzzy; Neural; Semiconductor;

D O I：

10.1504/IJTIP.2010.038231

中图分类号：

学科分类号：

摘要：

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. Copyright © 2010 Inderscience Enterprises Ltd.

引用

页码：373 / 386

页数：13

共 20 条

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