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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 Approach to Classify Learning Disability

Author 1: Pooja Manghirmalani Author 2: Darshana More Author 3: Kavita Jain
International Journal of Advanced Research in Artificial Intelligence (IJARAI) · Vol. 1, No. 2 · Published 2012 · Cited by 19

DOI: https://doi.org/10.14569/IJARAI.2012.010201

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Abstract

The endeavor of this work is to support the special education community in their quest to be with the mainstream. The initial segment of the paper gives an exhaustive study of the different mechanisms of diagnosing learning disability. After diagnosis of learning disability the further classification of learning disability that is dyslexia, dysgraphia or dyscalculia are fuzzy. Hence the paper proposes a model based on Fuzzy Expert System which enables the classification of learning disability into its various types. This expert system facilitates in simulating conditions which are otherwise imprecisely defined.

Keywords

Learning Disability Dyslexia Dysgraphia Dyscalculia Diagnosis Classification Fuzzy Expert System.

How to Cite this Article

Manghirmalani, P., More, D., & Jain, K. (2012). A Fuzzy Approach to Classify Learning Disability. International Journal of Advanced Research in Artificial Intelligence, 1(2). https://doi.org/10.14569/IJARAI.2012.010201

Manghirmalani, Pooja, et al.. "A Fuzzy Approach to Classify Learning Disability." International Journal of Advanced Research in Artificial Intelligence, vol. 1, no. 2, 2012, https://doi.org/10.14569/IJARAI.2012.010201.

@article{Manghirmalani2012,
  title     = {A Fuzzy Approach to Classify Learning Disability},
  journal   = {International Journal of Advanced Research in Artificial Intelligence},
  volume    = {1},
  number    = {2},
  year      = {2012},
  publisher = {The Science and Information Organization},
  author    = {Pooja Manghirmalani and Darshana More and Kavita Jain},
  doi       = {10.14569/IJARAI.2012.010201},
  url       = {https://doi.org/10.14569/IJARAI.2012.010201}
}

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