A Fuzzy Evaluation of Quality for Color Vision Disorders Diagnostic

The quality of testing represents one of the most important aspect in color vision testing, because the testing software can be as good as possible, but if the examination is not done under the right conditions, the results will not be accurate. This paper proposes a fuzzy system, which is able to determine the quality of software based testing alike the manual testing. Proposed fuzzy system determines the quality based on visual disorder, error score and condition of testing. System is based on CCD model (conjunction-conjunction-disjunction) and the defuzzification uses method of Center of Gravity. Data for testing come from testing of reliability comparison of software based and standard based method of Farnsworth-Munsell 100 Hue Test.

[1]  Russell J. Adams,et al.  A pseudoisochromatic test of color vision for human infants , 2014, Vision Research.

[2]  Abraham Kandel,et al.  Fuzzy Expert Systems , 1991 .

[3]  R. Hidayat.  Generating fast automated reports for the Farnsworth- Munsell 100-hue colour vision test , 2008 .

[4]  J. J. Saade,et al.  DEFUZZIFICATION METHODS AND NEW TECHNIQUES FOR FUZZY CONTROLLERS , 2004 .

[5]  Michal Prauzek,et al.  Fuzzy clustering method for large metabolic data set by statistical approach , 2014, 2014 Cairo International Biomedical Engineering Conference (CIBEC).

[6]  R. R. Hidajat,et al.  A fast system for reporting the Farnsworth–Munsell 100-hue colour vision test , 2004, Documenta Ophthalmologica.

[7]  Philippe Bolon,et al.  A Fast and Accurate Rule-Base Generation Method for Mamdani Fuzzy Systems , 2018, IEEE Transactions on Fuzzy Systems.

[8]  Michal Prauzek,et al.  Assessment of Parkinson's disease progression using neural network and ANFIS models , 2016 .

[9]  Taylor Wo.  Clinical experience of electronic calculation and automatic plotting of Farnsworth's 100-hue test. , 1978 .

[10]  A. Hill,et al.  Huematic—an automated scorer for the Farnsworth-Munsell 100 hue test , 1988, Eye.

[11]  J S Tiedeman,et al.  Computerized scoring and graphing of the Farnsworth-Munsell 100-hue color vision test. , 1986, American journal of ophthalmology.

[12]  Mei-Hui Wang,et al.  A Fuzzy Expert System for Diabetes Decision Support Application , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[13]  Asim Kumar Roy Choudhury,et al.  Colorimetric study of SCOTDIC colour specifier , 2008 .

[14]  Monique Roy,et al.  Lanthony desaturated panel D15 test in sickle cell patients , 2005, Graefe's Archive for Clinical and Experimental Ophthalmology.

[15]  Michal Prauzek,et al.  Automatic Fuzzy Classification System for Metabolic Types Detection , 2015, ECC.

[16]  Stanley Coren,et al.  The Farnsworth-Munsell 100-hue test: A BASIC program for scoring and analysis , 1986 .

[17]  Maija Mäntyjärvi,et al.  Normal test scores in the Farnsworth–Munsell 100 hue test , 2004, Documenta Ophthalmologica.