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

Tin-Chih Chen*

*Corresponding author for this work

Research output: Contribution to journalArticle

4 Scopus citations

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.

Original languageEnglish
Pages (from-to)373-386
Number of pages14
JournalInternational Journal of Technology Intelligence and Planning
Volume6
Issue number4
DOIs
StatePublished - 1 Dec 2010

Keywords

  • Competitive
  • Cost
  • Fuzzy
  • Neural
  • Semiconductor

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