Predicting product demand from small-sized data: grey models

Özdemir A., Özdağoğlu G.

GREY SYSTEMS-THEORY AND APPLICATION, cilt.7, sa.1, ss.80-96, 2017 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 7 Sayı: 1
  • Basım Tarihi: 2017
  • Doi Numarası: 10.1108/gs-10-2016-0038
  • Dergi Adı: GREY SYSTEMS-THEORY AND APPLICATION
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED)
  • Sayfa Sayıları: ss.80-96
  • Anahtar Kelimeler: Grey models, Demand prediction, Grey-Markov model, Textile product
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

Purpose - Prediction problems raised in uncertain environments require different solution approaches such as grey prediction models, which consider uncertainty in information and also enable the use of small data sets. The purpose of this paper is to investigate the comparative performances of grey prediction models (GM) and Markov chain integrated grey models in a demand prediction problem.