Abstract
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.
Keywords
Series (stratigraphy)
Fuzzy logic
Computer science
Time series
Operations research
Industrial engineering
Data mining
Artificial intelligence
Machine learning
Engineering
Subject Areas
Stock Market Forecasting Methods
·Management Science and Operations Research ·Social Sciences
Forecasting Techniques and Applications
·Management Science and Operations Research ·Social Sciences
Fuzzy Systems and Optimization
·Statistics and Probability ·Physical Sciences
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