Fuzzy Time Series: An Application in E-Commerce

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Atıf İçin Kopyala

KARAŞAN A., SEVİM İ., ÇINAR M.

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

• Yayın Türü: Makale / Tam Makale
• 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
• Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED)
• Sayfa Sayıları: ss.258-290
• Yıldız Teknik Üniversitesi Adresli: Evet

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.