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A Fuzzy Evaluation of Quality for Color Vision Disorders Diagnostic

  • Monika Borova
  • Jaromir Konecny
  • Michal Prauzek
  • Karolina Janosova
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 874)

Abstract

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.

Keywords

Farnsworth-Munsell Color vision disorders Fuzzy expert system Quality of testing 

Notes

Acknowledgement

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.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Monika Borova
    • 1
  • Jaromir Konecny
    • 1
  • Michal Prauzek
    • 1
  • Karolina Janosova
    • 1
  1. 1.Department of Cybernetics and Biomedical EngineeringVSB-Technical University of OstravaOstrava-PorubaCzech Republic

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