Intelligent fashion colour trend forecasting schemes: A comparative study

Yong Yu, Sau Fun Ng, Chi Leung Hui, Na Liu, Tsan Ming Choi

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

Abstract

The colour of a fashion item is one of its key features which often play an important role on the purchase decisions of consumers. And the fashionable colours often prevail in one season, thus, it is crucial for the fashion industry to do forecasting of the fashion trends, especially on colours, prior to the beginning the production for the target season. The lead-time of forecasting becomes shorter recent years with the intensified competition of global fashion industry, and imposes pressure on the forecasting of fashion colour trends. The common practise for the forecasting of colour trends in the fashion industry are based on the ideals of field experts, and the forecasting is in nature fuzzy and hard to be substituted by analytical models. In this paper, we explore the forecasting of colour trends by artificial intelligence models, especially artificial neural network and fuzzy logic models; we observed that such models help to improve the forecasting of fashion colour trends.

Original languageEnglish
Title of host publicationIntelligent Fashion Forecasting Systems
Subtitle of host publicationModels and Applications
PublisherSpringer Berlin Heidelberg
Pages147-160
Number of pages14
ISBN (Electronic)9783642398698
ISBN (Print)9783642398681
DOIs
Publication statusPublished - 1 Jan 2014

ASJC Scopus subject areas

  • Computer Science(all)
  • Economics, Econometrics and Finance(all)
  • Business, Management and Accounting(all)

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