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Research Article

Prediction of Dyslexia by Using of New Intuitionistic Fuzzy Linguistic Hybrid Aggregation

  • Paper ID 21
  • Volume 1, Issue 4
  • Pages 05-07
  • Published Online: July-August 2021
  • 20 Views
Open Access Peer Reviewed

Authors

  • M.Anand Kumar1
  • A.Selvin Raj2
  • S.Bhargavi3

1Department of Computer Science and Engineering, RMD Engineering College, Kavaraipettai, India. 2,3 Department of Computer Science and Engineering, Thiagarajar College of Engineering, Madurai, India

Article Information

DOI
No DOI
Published Online
July-August 2021
Pages
05-07
Article Type
Research Article
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No DOI available for cross-reference

References

1. AnaM.Palacios,Luciano Sanchez, Ines Couso, Diagnosis ofdyslexiawithlowqualitydatawithgeneticfuzzysystems,International Journal of
Approximate Reasoning 51 (2010) 993–1009
2. F.Bin, Z. Wang, J. Sun, Niche quantum-behaved particle swarmoptimizationwithchaoticmutationoperator,Comput.Appl.Software26
(1)(2009)50–52.
3. V. Georgopulos, A fuzzy cognitive map to differential diagnosis of specific language impairment, Artificial Intelligence in
Medicine29(2003)261–278.
4. http://www.dyslexiaindia.org.in/Hoeft, F., McCandliss, B.D., Black, J.M., Gantman, A., Zakerani,N., Hulme, C., Lyytinen, H. Whitfield-
Gabrieli, S., Glover, G.H.,Reiss,A.L., Gabrieli, J.D.E., 2011. Neuralsystemspredicting long-term outcome in dyslexia. Proc. Natl. Acad. Sci.
U. S. A. 108, 361–366
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