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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

A Fuzzy based Soft Computing Technique to Predict the Movement of the Price of a Stock

Author 1: Ashit Kumar Dutta
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 9, No. 2 · Published 2018

DOI: https://doi.org/10.14569/IJACSA.2018.090245

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Abstract

Soft computing is a part of an artificial intelligence, and fuzzy logic is the study of fuzziness on data. The combination of these two techniques can provide an intelligent system with more ability and flexibility. The nature of data in the stock/capital market is more complex and challenging to predict the movement of the price of the stock. The study has combined both fuzzy c-means and neural network technique for the prediction of the price of the stock. The research finds an optimum solution to predict the future price of a stock. The comparison of time and space complexity proved that the proposed method is better than the existing methods.

Keywords

Soft computing fuzzy logic stock recommendation fuzzy based soft computing soft computing systems

How to Cite this Article

Dutta, A. K. (2018). A Fuzzy based Soft Computing Technique to Predict the Movement of the Price of a Stock. International Journal of Advanced Computer Science and Applications, 9(2). https://doi.org/10.14569/IJACSA.2018.090245

Dutta, Ashit Kumar. "A Fuzzy based Soft Computing Technique to Predict the Movement of the Price of a Stock." International Journal of Advanced Computer Science and Applications, vol. 9, no. 2, 2018, https://doi.org/10.14569/IJACSA.2018.090245.

@article{Dutta2018,
  title     = {A Fuzzy based Soft Computing Technique to Predict the Movement of the Price of a Stock},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {2},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Ashit Kumar Dutta},
  doi       = {10.14569/IJACSA.2018.090245},
  url       = {https://doi.org/10.14569/IJACSA.2018.090245}
}

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