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Journal of Applied Sciences
  Year: 2013 | Volume: 13 | Issue: 1 | Page No.: 167-172
DOI: 10.3923/jas.2013.167.172
 
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Crime Forecasting using ARIMA Model and Fuzzy Alpha-cut
Noor Maizura Mohamad Noor, Astari Retnowardhani, Mohd Lazim Abd and Md Yazid Mohd Saman

Abstract:
Crime forecasting is one of research in forecasting world. Many forecasting methods have been applied in this field as Naïve lag, exponential smoothing, decomposition method and ARIMA model. This study proposed crime forecasting using Autoregressive Integrated Moving Average (ARIMA) model and fuzzy alpha-cut method. This combination is expected to generate more accurate forecasting result with minimum error. The results will help the decision maker’s in making the right decision in crime prevention strategies.
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How to cite this article:

Noor Maizura Mohamad Noor, Astari Retnowardhani, Mohd Lazim Abd and Md Yazid Mohd Saman, 2013. Crime Forecasting using ARIMA Model and Fuzzy Alpha-cut. Journal of Applied Sciences, 13: 167-172.

DOI: 10.3923/jas.2013.167.172

URL: https://scialert.net/abstract/?doi=jas.2013.167.172

 
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