Fuzzy Time Series: An Application in E-Commerce


KARAŞAN A., SEVİM İ. , ÇINAR M.

HANDBOOK OF RESEARCH ON INTELLIGENT TECHNIQUES AND MODELING APPLICATIONS IN MARKETING ANALYTICS, ss.258-290, 2017 (SCI İndekslerine Giren Dergi) identifier

  • Cilt numarası:
  • Basım Tarihi: 2017
  • Doi Numarası: 10.4018/978-1-5225-0997-4.ch015
  • Dergi Adı: HANDBOOK OF RESEARCH ON INTELLIGENT TECHNIQUES AND MODELING APPLICATIONS IN MARKETING ANALYTICS
  • Sayfa Sayıları: ss.258-290

Özet

In this chapter, we are planning to make a comparison between conventional Time Series Models and Fuzzy Time Series Models by an application in an e-commerce company. Future sales of furniture will be predicted. The performance of different models and forecasting periods are going to be analyzed to discuss advantages and disadvantages of each method. MAE is chosen as performance indicators of each model and forecasting period combination. As a conclusion to this chapter, generic strategies for prediction in an e-commerce company will be formulated in consideration of these indicators.