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A Computing Procedure Combining Fuzzy Clustering with Fuzzy Inference System for Financial Index Forecasting

  • Bui Cong Cuong
  • Pham Van ChienEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 341)

Abstract

In this paper, a computing procedure for stock value and financial index forecasting based on fuzzy clustering and fuzzy inference system is presented. Firstly, we present a data processing method based on percentage variation rate. Then we construct a fuzzy inference system with fuzzy rules obtained by the fuzzy clustering process. We determine weight of each rule and construct a defuzzification method. Finally, we apply the proposed computing procedure to some financial forecasting problems such as Vietnam’s stock value and foreign exchange. The experimental results show that our computing procedure gives better forecasting results in some case than several conventional models such as Autoregressive Model (AR), Adaptive neuro fuzzy inference system (ANFIS).

Keywords

Fuzzy system Fuzzy clustering Fuzzy rule generation Forecasting 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Institute of MathematicsVietnam Academy of Science and TechnologyHanoiVietnam
  2. 2.Hanoi University of Science and TechnologyHanoiVietnam

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