%P 242-247
%J 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings
%T An improved heuristic-based fuzzy time series forecasting model using genetic algorithm
%R 10.1109/ICCISci.2012.6297247
%V 1
%L scholars2796
%K Belgium; Forecasting accuracy; Forecasting models; Fuzzy aggregation; Fuzzy forecasting; Fuzzy logical relationship groups; Fuzzy time series, Forecasting; Highway accidents; Information science; Technology; Time series, Genetic algorithms
%X Fuzzy time series is being used for forecasting since last two decades and a lot of work has been done by different researchers to get better forecasting models and higher forecasting accuracy. In this paper a heuristic trend predictor is proposed based on fuzzy time series forecasting model. The model will uses genetic algorithm for adjusting interval length to get improved results. The proposed method will be applied on car road accidents causalities data of Belgium and hopefully will get better results than many other previous methods. © 2012 IEEE.
%C Kuala Lumpur
%O cited By 2; Conference of 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 ; Conference Date: 12 June 2012 Through 14 June 2012; Conference Code:93334
%D 2012
%A T.A. Jilani
%A U. Amjad
%A J. Jaafar
%A S. Hassan