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.
KeywordsFarnsworth-Munsell Color vision disorders Fuzzy expert system Quality of testing
This work was supported by the European Regional Development Fund in the Research Centre of Advanced Mechatronic Systems project, project number CZ.02.1.01/0.0/0.0/16_019/0000867 within the Operational Program Research, Development and Education s the project SP2018/160, “Development of algorithms and systems for control, measurement and safety applications IV” of Student Grant System, VSB-TU Ostrava.
- 4.Hidayat, R.: Generating fast automated reports for the Farnsworth-Munsell 100-hue colour vision test. In: Proceedings of New Zealand Computer Science Research Student Conference, NZCSRSC 2008, pp. 37–40 (2008)Google Scholar
- 5.Hill, A.R., Reeves, B.C., Burgess, A.: Huematican automated scorer for the Farnsworth-Munsell 100 hue test. Eye (Basingstoke) 2(1), 80–86 (1988)Google Scholar
- 13.Prauzek, M., Hlavica, J., Michalikova, M.: Automatic fuzzy classification system for metabolic types detection. Advances in Intelligent Systems and Computing, vol. 370 (2015)Google Scholar
- 14.Prauzek, M., Hlavica, J., Michalikova, M., Jirka, J.: Fuzzy clustering method for large metabolic data set by statistical approach. In: Proceedings of the 7th Cairo International Biomedical Engineering Conference, CIBEC 2014, pp. 87–90 (2015)Google Scholar
- 17.Saade, J.J., Diab, H.B.: Defuzzification methods and new techniques for fuzzy controllers (2004)Google Scholar
- 18.Taylor, W.O.: Clinical experience of electronic calculation and automatic plotting of Farnsworth’s 100-hue test. Mod. Probl. Ophthalmol. 19, 150–154 (1978)Google Scholar