Fundamentals of artificial intelligence techniques for apparel management applications

Z. X. Guo, Wai Keung Wong

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic researchpeer-review

5 Citations (Scopus)

Abstract

The fundamentals of artificial intelligence (AI) techniques are introduced briefly in this chapter. The definition, significance and classification of AI techniques are presented first. Some representative AI techniques, especially those which have been used in solving decision-making problems in the apparel supply chain operations, are then introduced to help readers understand AI techniques used in subsequent chapters. These techniques include rule-based expert systems, evolutionary optimization techniques, feedforward neural networks and fuzzy logic. Their relevant fundamentals are introduced, including their origins, fundamental characteristics, possible applications and the procedures of implementation.
Original languageEnglish
Title of host publicationOptimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence (AI)
Subtitle of host publicationFrom Production to Retail
PublisherElsevier Inc.
Pages13-40
Number of pages28
ISBN (Print)9780857097798
DOIs
Publication statusPublished - 1 Jan 2013

Keywords

  • Evolutionary computation
  • Expert system
  • Fuzzy logic
  • Neural network

ASJC Scopus subject areas

  • Engineering(all)

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