A web based fuzzy expert system for diagnosis level of dyslexia / Noor Safura Othman

Othman, Noor Safura (2006) A web based fuzzy expert system for diagnosis level of dyslexia / Noor Safura Othman. Degree thesis, Universiti Teknologi MARA.

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Abstract

Dyslexia means a disorder of constitutional origin manifested by a difficulty in learning to read, write, or spell, despite conventional instruction, adequate intelligence, and sociocultural opportunity. It affect large portion of population in Malaysia but it is still not known. If dyslexia is not detected at early stages it will be hard for the dyslexic to survive. A web based Fuzzy Inference System was developed to aid in the diagnosis of dyslexia level for ages 7 to 12 years old. The system will produce the level of dyslexia for a person from test conducted through the system. The Mamdani fiizzy model has been employed to implement the inference system. The criteria of fuzzy input make it useful in determining the level of dyslexia. From testing that has been done, it was found that the system can produce accurate and appropriate result. It can be said that the system have the capability to replace the expert or provide assistance to other tutor when expert not available. The system meets its objective to give user information of the level of dyslexia they faces. It can be concluded that fiizzy logic is a suitable approach for this type of problem.

Item Type: Thesis (Degree)
Creators:
CreatorsEmail
Othman, Noor SafuraUNSPECIFIED
Subjects: L Education > LB Theory and practice of education
Q Science > QA Mathematics > Instruments and machines > Electronic computers. Computer science
Q Science > QA Mathematics > Instruments and machines > Electronic computers. Computer science
Divisions: Faculty of Information Technology and Quantitative Sciences
Item ID: 1738
Last Modified: 22 Jul 2019 03:59
Depositing User: Staf Pendigitalan 1
URI: http://ir.uitm.edu.my/id/eprint/1738

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